Question: For the model you developed in question 2, examine the assumptions you need for linear regression.

a. Make a histogram and Q-Q plot of the Studentized residual. What do these suggest about the violation of the normality assumption?

c. Make a scatterplot of the Studentized residual against the predicted education. What should you look for in this plot? What assumption are you checking? Do you suspect that the assumption is not met?

d. Plot the change in slope associated with removing a point against case ID. From the plot, what is the largest change in slope that would occur if you eliminated a point? Use point selection mode to identify the cases with large values for the change in slope. What are their values for the dependent and independent variables?