Question

In: Statistics and Probability

A survey of MBA graduates of a business school obtained data on the first-year salary after...

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

Solutions

Expert Solution

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


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