After completing this lesson, you should be able to learn the following:
10. INFERENCE FOR SIMPLE LINEAR REGRESSION
Understand simple linear regression model.
Understand confidence intervals for the slope parameter.
Understand hypothesis tests for the slope parameter.
Understand predictions for the response at a given level of the
predictor variable.
Reading Assignment
Read chapter 10 in Introduction to the Practice of
Statistics.
Activities
Key Terms
Chapter 10
Intercept Parameter
Slope Parameter
Standard Error for the slope parameter.
Random error term.
Model assumptions.
Predictions.
Chapter 10: Study Questions
If you observed a scatterplot with a perfectly straight line
pattern, what does this tell you about the value of sigma?
If a confidence interval for the slope was (1, 2.3), should you conclude
that it is reasonable that the simple linear regression model slope parameter
could be negative?
It the p-value for testing the H_{o}: beta1=0 was exceedingly
small, does this mean that there is a strong relationship between the
predictor and the response variable?
Chapter 10: Study Notes
Lecture
Notes Lecture notes for chapter 10 in acrobat format.
Do the following assignment. The problems listed are from
"Introduction to the Practice of Statistics".
When you have worked on the problems and are ready to turn in
your findings, click the assignment
link in the lesson 11 assignment.
The due date is Monday
May 10.
