CHAPTER 13
Inference for Regression
The following regression output is for predicting the number of calories per serving from the number
of grams of fat per serving for ten fast-food hamburgers.
Dependent variable is Calories
No selector
R squared = 96.8% R squared (adjusted) = 96.4%
s = 57.61 with 10 – 2 = 8 degrees of freedom (df)
Assume conditions for inference have been met. The 95% confidence interval for the slope of the
regression line is
(A)
(B)
(C)
(D)
(E) - A researcher wants to do a test of significance to see if the slope of his regression line is
significantly different from 0. The scatterplot, residual plot, and a univariate plot of the residuals are
shown here. What advice should you give the researcher?