arudnicki@msn.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
flyingtable83@yahoo.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
gbuttweiler@hotmail.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
fmxavier05@hotmail.com|the correlation analysis.|correlation.|a cause-and-effect relation between the explanatory and response variable.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
montgome@citrine.indstate.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
kylebentfield@hotmail.com|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
chan0560@morris.umn.edu|the correlation analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
tved0014@mrs|the least-squares regression.|a cause-and-effect relation between the explanatory and response variables.|a cause-and-effect relation between the explanatory and response variable.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
hayn0035@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
goem0005|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
mandanml@cda.morris.umn.edu|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
mahlingp|a well-designed experiment.|common response.|confounding.|the presence of a major league baseball team causes the number of divorces to rise (perhaps husbands are spending too much time at the ballpark).
mahlingo|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
mahlingi|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
hopk|the least-squares regression.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
hopk1|the correlation analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
hopk12|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
Lovelys83@hotmail.com|the least-squares regression.|a cause-and-effect relation between the explanatory and response variables.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
Greenalien7@hotmail.com|the correlation analysis.|correlation.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
poptab72@hotmail.com|a two-way table analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
ascholz@upsala.k12.mn.us|a two-way table analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
lrupp@mnba.org|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
leahmullenbach@yahoo.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
jayren96@hotmail.com|the least-squares regression.|correlation.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
clueck@tds.net|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
missbb96@hotmail.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
rada0028@morris.umn.edu|a two-way table analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
moll0091@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
Als3rdhand@aol.com|a two-way table analysis.|confounding.|correlation.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
olso1576@morris.umn.edu|the correlation analysis.|a cause-and-effect relation between the explanatory and response variables.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
sungur-jayren96@hotmail.com|the least-squares regression.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
srice@rea-alp.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
Als3rdhand@aol.com/Sungur|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
kirkir12@hotmail.com|a two-way table analysis.|correlation.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
delmax_f@hotmail.com|a two-way table analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
seel0040@cda.morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
mirvin2@hotmail.com|the correlation analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
gilk0008@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
mitc0246|a two-way table analysis.|confounding.|common response.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
tost0010@umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
wood0503|the correlation analysis.|a cause-and-effect relation between the explanatory and response variables.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
zychja@morris.umn.edu|the correlation analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
mj0599@excite.com|a two-way table analysis.|common response.|a cause-and-effect relation between the explanatory and response variable.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
spalmquist@charter.net|a two-way table analysis.|a cause-and-effect relation between the explanatory and response variables.|common response.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
yerkaj@cda.morris.umn.edu|the correlation analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
lukezajac@hotmail.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
john4296@morris.umn.edu|a well-designed experiment.|common response.|a cause-and-effect relation between the explanatory and response variable.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
blix0009@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
kuec0017@morris.umn.edu|a well-designed experiment.|correlation.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
bagl0013@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
crazy_angel_2002@hotmail.com|the least-squares regression.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
randi@rossman.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
Talis3548@aol.com|a well-designed experiment.|correlation.|common response.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
PFur538447@aol.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
mawinans@charter.net|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
Musical1704@yahoo.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
a@aol.com|the least-squares regression.|common response.|common response.|the high number of divorces is responsible for the presence of a major league baseball team (more single men means potentially more fans at the ballpark, making it attractive for an owner to relocate to such cities).
b@aol.com|the correlation analysis.|common response.|common response.|the high number of divorces is responsible for the presence of a major league baseball team (more single men means potentially more fans at the ballpark, making it attractive for an owner to relocate to such cities).
c@aol.com|a two-way table analysis.|common response.|common response.|the high number of divorces is responsible for the presence of a major league baseball team (more single men means potentially more fans at the ballpark, making it attractive for an owner to relocate to such cities).
d@aol.com|a well-designed experiment.|common response.|common response.|the high number of divorces is responsible for the presence of a major league baseball team (more single men means potentially more fans at the ballpark, making it attractive for an owner to relocate to such cities).
phel0070@morris.umn.edu|the least-squares regression.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
phel0073@morris.umn.edu|the correlation analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
eldanio85@yahoo.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
dfbarger@juno.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
olsater@brainerd.k12.mn.us|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
john4125@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
nord0381@cda.morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
vegan_like_me@hotmail.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
smit1825@morris.umn.edu|the correlation analysis.|a cause-and-effect relation between the explanatory and response variables.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
determam@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
maho0122@mrs.edu|a two-way table analysis.|confounding.|correlation.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
madd0090@morris.umn.edu|the correlation analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
lpl767@attbi.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
n|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
patt0210@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
super_8_gk@hotmail.com|a two-way table analysis.|a cause-and-effect relation between the explanatory and response variables.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
mcescher@aol.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
john4195|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
jrevenso5689@winona.edu|the least-squares regression.|confounding.|correlation.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
loeh0022|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
marg0047@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
jone0722@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
kell0873@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
andr0456@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
helm0166@morris.umn.edu|a well-designed experiment.|a cause-and-effect relation between the explanatory and response variables.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
kknudsen12@hotmail.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
ang6203@netscape.net|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
karla_j_koenig@hotmail.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
youn0656@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
cristinahartnett@hotmail.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
chillywilly_54@hotmail.com|a well-designed experiment.|confounding.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
darc0004@morris.umn.edu|the least-squares regression.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
josto22@hotmail.com|the least-squares regression.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
blac0264@morris.umn.edu|the correlation analysis.|correlation.|correlation.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
orangeskier1081@hotmail.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
turp0007|the correlation analysis.|confounding.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
shim0122@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
mans0082@morris.umn.edu|the correlation analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
karl0084@morris.umn.edu|the least-squares regression.|a cause-and-effect relation between the explanatory and response variables.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
bren0223@morris.umn.edu|a two-way table analysis.|correlation.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
Stew0253|the correlation analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
gree0680@morris.umn.edu|a well-designed experiment.|confounding.|correlation.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
sheq0002@morris.umn.edu|a well-designed experiment.|a cause-and-effect relation between the explanatory and response variables.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
koeh0103|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
smit2085@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
stef0198, cath0012, thom1871|a well-designed experiment.|a cause-and-effect relation between the explanatory and response variables.|a cause-and-effect relation between the explanatory and response variable.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
insane_boy@hotmail.com|a well-designed experiment.|confounding.|common response.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
jeckman@visi.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
mjeckman@mmm.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
biggie2004@hotmail.com|the correlation analysis.|a cause-and-effect relation between the explanatory and response variables.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
jplarson@mchsi.com|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
emylee908@yahoo.com|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
drap0026@morris.umn.edu|the correlation analysis.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
klsmith@csbsju.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
popow003|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
randinorby@charter.net|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
keri@sbtc.net|a two-way table analysis.|correlation.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
hynn0004@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
edlu0029@morris.umn.edu|the least-squares regression.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
blas0063@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
chen0863@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
dtfeldhege@warpdriveonline.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
ericaolson@lakeland.ws|the least-squares regression.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
zaba0004@morris.umn.edu|the least-squares regression.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
ke_anderson@hotmail.com|a well-designed experiment.|confounding.|common response.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
enge0335@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
the_goat_grrl@yahoo.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
mall0113@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
medl0023@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
Deserteagle@frontiernet.net|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
redm0054@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
Sarah.R.Kron@wheaton.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
schaubz@yahoo.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
kroll072@mrs.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
mark0387@mrs.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
Afroman2k6@yahoo.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
musi0022@mrs.umn.edu|a well-designed experiment.|a cause-and-effect relation between the explanatory and response variables.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
TomKelsey@hotmail.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
nay_nay_2006@hotmail.com|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
hage0369@tc.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
cannongal@earthlink.net|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
rosc0031@mrs.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
eli_ana2005@yahoo.com|the least-squares regression.|confounding.|a cause-and-effect relation between the explanatory and response variable.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
musi0026@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
melissa0848@msn.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
tomandamy@gmail.com|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
JKSk8terboy@hotmail.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
greatgalwoody@yahoo.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
pete2506@umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
tkraguse@traversenet.com|a two-way table analysis.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
foxx0226@ morris.umn.edu|a well-designed experiment.|correlation.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
mini0018@mrs.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
ssanden@charter.net|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
hagg0055@mrs.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
hans1958@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
markandrie@hotmail.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
hayw0017@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
supersefie@yahoo.com|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
grif0227@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
tess0052@mrs.umn.edu|a well-designed experiment.|common response.|confounding.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
free0208@umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
scal0029@mrs.umn.edu|the least-squares regression.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
bob@aol.com|the correlation analysis.|correlation.|common response.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
dsad|a two-way table analysis.|confounding.|confounding.|the high number of divorces is responsible for the presence of a major league baseball team (more single men means potentially more fans at the ballpark, making it attractive for an owner to relocate to such cities).
21sdsdv|the least-squares regression.|confounding.|common response.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
dsadasd|the least-squares regression.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
drodro5987@yahoo.com|the least-squares regression.|correlation.|correlation.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
drodro5907@yahoo.com|the correlation analysis.|correlation.|correlation.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
drodri5907@yahoo.com|a two-way table analysis.|correlation.|correlation.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
drodri59007@yahoo.com|a well-designed experiment.|correlation.|correlation.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
JLKJ@YAHOO.COM|the correlation analysis.|common response.|correlation.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
ijsdfklj@Yahoo.com|the least-squares regression.|correlation.|confounding.|the presence of a major league baseball team causes the number of divorces to rise (perhaps husbands are spending too much time at the ballpark).
fuckyou@yahoo.com|a well-designed experiment.|a cause-and-effect relation between the explanatory and response variables.|common response.|the observed association is purely coincidental. It is plausible to believe the observed association could be anything other than accidental.
jkljkj@yahoo.com|a well-designed experiment.|confounding.|common response.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
colso009@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
baso0011@mrs.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
caitlin_maguire@hotmail.com|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
lofg0020@umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
joh01673@morris.umn.edu|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
jenn0117|a well-designed experiment.|confounding.|common response.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
croo0049|a well-designed experiment.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
stars30@hotmail.com|the least-squares regression.|common response.|confounding.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
a87h@yahoo.com|a well-designed experiment.|confounding.|correlation.|the association is due to common response (major league teams tend to be in large cities with more people and hence a greater number of divorces).
i |the least-squares regression.|a cause-and-effect relation between the explanatory and response variables.|common response.|the high number of divorces is responsible for the presence of a major league baseball team (more single men means potentially more fans at the ballpark, making it attractive for an owner to relocate to such cities).
U|the correlation analysis.|a cause-and-effect relation between the explanatory and response variables.|common response.|the high number of divorces is responsible for the presence of a major league baseball team (more single men means potentially more fans at the ballpark, making it attractive for an owner to relocate to such cities).
I|a two-way table analysis.|a cause-and-effect relation between the explanatory and response variables.|common response.|the high number of divorces is responsible for the presence of a major league baseball team (more single men means potentially more fans at the ballpark, making it attractive for an owner to relocate to such cities).
O|a well-designed experiment.|a cause-and-effect relation between the explanatory and response variables.|common response.|the high number of divorces is responsible for the presence of a major league baseball team (more single men means potentially more fans at the ballpark, making it attractive for an owner to relocate to such cities).