4. Compute a multiple regression model using number of times cheated at school as the dependent variable. Include the measures for age, sex, race (recoded as a dummy variable), grade point average, and amount of time spent studying as the independent variables. This will be the baseline model in the following questions. (a) Compute an interaction term for grade point average and time spent studying, and add this term to the regression model. Prior to rerunning the regression command, check the item for descriptive statistics available through the regression command window. Report the coefficient values and whether or not the coefficients are statistically significant (with α ¼ 0.05).

(b) Compute the tolerance statistic for each of the independent variables in this model. Does it appear that there is a problem with collinearity in this model? Explain why. (c) What is the effect of grade point average on number of times cheated at the mean level of time spent studying? (You will need to use the mean reported in the results for part (a).) Interpret this effect. • How does the effect of grade point average change as the value for time spent studying increases or decreases? (d) What is the effect of time spent studying on number of times cheated at the mean grade point average? Interpret this effect. • How does the effect of time spent studying change as the value for grade point average increases or decreases?