A researcher who is evaluating the significance of a multiple regression equation with two predictor variables obtains an F-ratio with df = 2, 18. How many individuals were needed to produce the sample data used to find the regression equation?
A) 18
B) 19
C) 20
D) 21
Question 2Which of the following accurately describes the effect of increasing the sample size?
A) Increases the standard error and has no effect on the risk of a Type I error
B) Decreases the standard error and has no effect on the risk of a Type I error
C) Increases the risk of a Type I error and has no effect on the standard error
D) Decreases the risk of a Type I error and has no effect on the standard error
Question 3The Pearson correlation between X1 and Y is r = 0.40 and SSY = 100. When a second variable, X2, is added to the regression equation, we obtain R2 = 0.25. How much additional variability is contributed by adding the second variable as a predictor compared to using X1 alone?
A) 9 points
B) 15 points
C) 25 points
D) 40 points