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A study of the top 75 MBA programs attempted to predict the average starting salary (in $1000's) of graduates of the program based on the amount of tuition (in $1000's) charged by the program. The results of a simple linear regression analysis are shown below: Least Squares Linear Regression of Salary
The model was then used to create 95% confidence and prediction intervals for y and for E(Y) when the tuition charged by the MBA program was $75,000. The results are shown here:
95% confidence interval for E(Y) : ($123,390, $134,220)
95% prediction interval for Y: ($82,476, $175,130)
Which of the following interpretations is correct if you want to use the model to estimate E(Y) for all MBA programs?
Total Income
The sum of all revenues and gains that a person or business receives over a period of time, before any expenses are subtracted.
Average Rate of Return
A metric that determines the earnings from an investment by dividing the mean yearly profit by the cost of the initial investment.
Straight-Line Depreciation
A method of allocating the cost of a tangible asset over its useful life in equal annual amounts.
Average Rate of Return
A metric used to assess the profitability of an investment, calculated by dividing the average annual profit by the initial investment cost.
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