In: Statistics and Probability
A survey of MBA graduates of a business school obtained data on the first-year salary after graduation and years of work experience prior to obtaining their MBA. The data are given in excel.
Q: Write out the assumptions of simple linear regression. Use the output to validate assumptions or indicate if an assumption is not met.
Experience | Salary |
8 | 113.9 |
5 | 112.5 |
5 | 109 |
11 | 125.1 |
4 | 111.6 |
3 | 112.7 |
3 | 104.5 |
3 | 100.1 |
0 | 101.1 |
13 | 126.9 |
14 | 97.9 |
10 | 113.5 |
2 | 98.3 |
2 | 97.2 |
5 | 111.3 |
13 | 124.7 |
1 | 105.3 |
5 | 107 |
1 | 103.8 |
5 | 107.4 |
5 | 100.2 |
7 | 112.8 |
4 | 100.7 |
3 | 107.3 |
3 | 103.7 |
7 | 121.8 |
7 | 111.7 |
9 | 116.2 |
6 | 108.9 |
6 | 111.9 |
4 | 96.1 |
6 | 113.5 |
5 | 110.4 |
1 | 98.7 |
13 | 120.1 |
1 | 98.9 |
6 | 108.4 |
2 | 110.6 |
4 | 101.8 |
1 | 104.4 |
5 | 106.6 |
1 | 103.9 |
4 | 105 |
1 | 97.9 |
2 | 104.6 |
7 | 106.9 |
5 | 107.6 |
1 | 103.2 |
1 | 101.6 |
0 | 99.2 |
1 | 101.7 |
6 | 120.1 |
Bring data in to excel sheet. Data tab ==> choose regression statistics
Simple Linear Regression Summary output:
Conclusion:
Significance F (highlighted in yellow) is nothing but p - value
P-value < 0.05
If the p-value is less than 0.05, we reject the null hypothesis that there's no difference between the means and conclude that a significant difference does exist