The file $350\_$Case$\_2.$xlsx contains starting salaries for $40$ MBA students directly after graduation. These students were randomly selected from different universities. For each student, the file also lists the number of years of experience prior to entering the MBA program and their overall GPA in the MBA program. Besides, the file contains the overall ranking of the college$/$school on a $100-$point scale $(1=$lowest, $100=$highest$).$ Use Microsoft Excel to answer all the questions below. $1.$ Provide a numeric example of how this regression equation may be used to predict students$$ starting salaries. $(5$ points$)2.$ Develop a multiple regression equation for starting salaries using School$\_$Ranking, GPA, and Experience as independent variables. Is this regression equation $$good for use$?$ Explain. $(7+3=10$ points$)3.$ If the multiple regression equation in the previous question is not $$good for use$,$ how would you suggest improving this multiple regression equation? Present the improved multiple regression equation. Give a numeric example of how this improved multiple regression equation may be used to predict students$$ starting salaries. $(5+5+5=15$ points$)$ Student School$\_$Ranking GPA Experience Salary

$1782\mathrm{.}92373,590$

$2563\mathrm{.}84987,000$

$3233\mathrm{.}04676,970$

$4673\mathrm{.}20679,320$

$5563\mathrm{.}61779,530$

$6782\mathrm{.}99571,040$

$7683\mathrm{.}78882,050$

$8893\mathrm{.}20578,890$

$9373\mathrm{.}42782,170$

$10673\mathrm{.}05576,120$

$11483\mathrm{.}12477,500$

$12783\mathrm{.}56783,920$

$13563\mathrm{.}01571,800$

$14253\mathrm{.}15677,000$

$15683\mathrm{.}05779,000$

$1636367$

$39393\mathrm{.}24577,800$

$17723\mathrm{.}16372,800$

$1876775,000$