If possible, please explain how to solve this using excel. Thank you

Student	School_Ranking	GPA	Experience	Salary
1	78	2.92	3	73,590
2	56	3.84	9	87,000
3	23	3.04	6	76,970
4	67	3.20	6	79,320
5	56	3.61	7	79,530
6	78	2.99	5	71,040
7	68	3.78	8	82,050
8	89	3.20	5	78,890
9	37	3.42	7	82,170
10	67	3.05	5	76,120
11	48	3.12	4	77,500
12	78	3.56	7	83,920
13	56	3.01	5	71,800
14	25	3.15	6	77,000
15	68	3.05	7	79,000
16	36	3.24	5	77,800
17	76	3.25	6	80,600
18	78	3.78	9	87,000
19	67	3.12	4	78,450
20	67	3.24	8	80,600
21	15	2.98	5	74,900
22	29	3.24	6	79,200
23	49	3.08	4	77,000
24	67	3.00	6	77,900
25	39	2.95	4	76,950
26	81	3.01	5	76,800
27	54	3.23	7	79,300
28	72	3.01	2	72,120
29	73	3.45	7	83,900
30	78	3.85	8	85,200
31	51	3.00	5	77,300
32	86	3.23	6	83,500
33	76	3.80	7	77,000
34	30	3.08	5	75,000
35	58	3.15	7	79,200
36	86	3.35	7	80,400
37	34	3.09	7	80,200
38	72	3.35	9	84,800
39	38	3.16	3	72,800
40	89	2.76	7	75,000

1. Develop a simple linear regression equation for starting salaries using an independent variable that has the closest relationship with the salaries. Explain how you chose this variable. (5 + 5 = 10 points)

2. Present the simple linear regression equation, identify and explain the coefficient of determination, intercept and regression coefficient, and significance of F-test. Based on this analysis, is your regression equation "good for use"? Explain. (2+2+2+2+2 = 10 points)

3. Provide a numeric example of how this regression equation may be used to predict students' starting salaries. (5 points)

4. 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)

5. 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)