COLLGPA data file contains data

This problem is adapted from one in McClave et al. (2005). The COLLGPA data file contains data that can be used to determine whether college grade point average (GPA) for 40 students (Gpa) can be predicted from: Admission decisions are often based on college entrance examinations (among other things), so this is a common use of regression modeling(a) Use statistical software to fit the model Save the studentized residuals and draw a scatterplot with these studentized residuals on the vertical axis and Verb on the horizontal axis. Repeat with Math on the horizontal axis. Add a “loess” fitted line to each of the plots to help you assess the zero mean regression errors assumption [computer help #35, #15, and #36]. Do either of the plots suggest that this assumption is violated for this model 

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