Question

use the data in the excel file MBA motivation and salary expections to determine how well...

use the data in the excel file MBA motivation and salary expections to determine how well a linear function models the relationship between pre- and post-MBA salaries. Compare it to a third-order poly-nomial. Would the polynomial model have a logical explanation?

Complete as directed. Construct scatter plots.. Note location instructions for the plots.

Pre-MBA Salary Post-MBA Salary
$85,000 $105,000
$87,000 $100,000
$70,000 $100,000
$95,000 $125,000
$52,000 $60,000
$47,000 $70,000
$70,000 $130,000
$55,000 $75,000
$75,000 $110,000
$50,000 $80,000
$42,500 $85,000
$70,000 $90,000
$55,000 $70,000
$60,000 $90,000
$65,000 $80,000
$90,000 $110,000
$87,000 $105,000
$110,000 $125,000
$37,000 $70,000
$60,000 $75,000
$73,000 $95,000
$57,000 $75,000
$45,000 $80,000
$65,000 $90,000
$85,000 $100,000
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Answer #1

All plots were constructed using excel.

Linear Fit

Scatter Plot - Linear Fit 140000 y = 0.8457x + 34712 120000 R2 = 0.6722 100000 80000 Post-MBA Salary 60000 Post-MBA Salary ·

3rd order Polynomial

Scatter Plot - 3rd order Polynomial 140000 120000 100000 80000 Post-MBA Salary 60000 Post-MBA Salary ...... Poly(Post-MBA Sal

The polynomial model provides a better fit when compared to the linear model. Yes, the polynomial model does have a logical explanation. The impact of such a specialized level of education like an MBA on salaries would always show a non-linear trend.

Let me know in the comments if anything is not clear. I will reply ASAP! Please do upvote if satisfied!

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