Client $2$: Southeastern Pennsylvania University $($Can you help with the Excell Documents without using any add$-$ons that you have to pay for$)$

Some administrators at the university believe that the student$-$faculty ratio $($calculated as the number of students divided by the number of faculty$)$ is an important determinant of student salaries after graduation. Others believe the reputation and prestige of the university is a bigger factor or that it is largely the academic quality of the students admitted that impacts salaries the most. The university has obtained some data that shows students$$ starting salaries along with various characteristics of the universities the students attended. The data set is found on D$2$L in the spreadsheet, $$Salary Data$.$ It contains the following variables: Post graduation salaries, the per semester cost of attendance, the region of the country in which the school is located, the total students enrolled, the number of faculty at the university, the average high school GPA of students admitted, the size of the school$$s library, and the school$$s national rank. Specifically, the administrators are requesting the following:

Scatter plots that show the relationship between the dependent variable and the independent variables $($remember the principles of data visualization$)$

Use multiple regression analysis to explore the relationship between starting salaries and the various explanatory variables

Determine which variables are statistically significant determinants of starting salaries, explaining your methodology.

Suggest specific strategies for improving the starting salaries of graduates. Explain in detail, justifying with evidence from your analysis.