Section 2.4 Learning Check||Please enter your Full Name:|Your Email Address:|Your ID Number or Password:|An instructor carries out a regression analysis of final exam scores on the midterm exam scores.<br><img src="regression2.jpg"></center><br>For one of the students in this course the midterm exam score is 37, final exam score is 32. The residual is # 5 %% -5 %% -7 %% 3 %%|A lurking variable is # a missing variable in the study that affects the response variable. %% the true cause of a response. %% a variable with the largest residual. %% a variable which is explained by the response variable. %%|Two variables in a study are said to be confounded if # one cannot seperate their effects on a response variable. %% they are highly correlated. %% they do not have a normal distribution. %% one of them is missing in the study. %%|Consider the following residual plot. <br><center><img src="residual1.jpg"></center><br>Which one of the statements is true? # The relationship between explanatory and response variables is not linear. %% The variation around the regression line is not constant. %% There is no problem on regression indicated by the graph. %% The relationship is curved and the variation is not constant. %%