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Interpret the estimated slope of the regression line. O For every $1474.94 increase in the tuition charged by the MBA program, we estimate that the average starting salary will increase by $18,184.90. O For every $1000 increase in the average starting salary, we estimate that the tuition charged by the MBA program will increase by $1474.94. O For every $1000 increase in the tuition charged by the MBA program, we estimate that the average starting salary will decrease by $1474.94. O For every $1000 increase in the tuition charged by the MBA program, we estimate that the average starting salary will increase by $1474.94.

Interpret the estimated slope of the regression line. O For every $1474.94 increase in the tuition charged by the MBA program, we estimate that the average starting salary will increase by $18,184.90. O For every $1000 increase in the average starting salary, we estimate that the tuition charged by the MBA program will increase by $1474.94. O For every $1000 increase in the tuition charged by the MBA program, we estimate that the average starting salary will decrease by $1474.94. O For every $1000 increase in the tuition charged by the MBA program, we estimate that the average starting salary will increase by $1474.94.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Solve the problem. 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 Predictor Variables Coefficient Std Error TP Constant 18.1849 10.3336 1.76 0.0826 Size 1.47494 0.14017 10.52 0.0000 R-Squared 0.6027 Resid. Mean Square (MSE) 532.986 Adjusted R-Squared 0.5972 Standard Deviation 23.0865 Interpret the estimated slope of the regression line. O For every $1474.94 increase in the tuition charged by the MBA program, we estimate that the average starting salary will increase by $18,184.90. O For every $1000 increase in the average starting salary, we estimate that the tuition charged by the MBA program will increase by $1474.94. O For every $1000 increase in the tuition charged by the MBA program, we estimate that the average starting salary will decrease by $1474.94. O For every $1000 increase in the tuition charged by the MBA program, we estimate that the average starting salary will increase by $1474.94.
Transcribed Image Text:Solve the problem. 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 Predictor Variables Coefficient Std Error TP Constant 18.1849 10.3336 1.76 0.0826 Size 1.47494 0.14017 10.52 0.0000 R-Squared 0.6027 Resid. Mean Square (MSE) 532.986 Adjusted R-Squared 0.5972 Standard Deviation 23.0865 Interpret the estimated slope of the regression line. O For every $1474.94 increase in the tuition charged by the MBA program, we estimate that the average starting salary will increase by $18,184.90. O For every $1000 increase in the average starting salary, we estimate that the tuition charged by the MBA program will increase by $1474.94. O For every $1000 increase in the tuition charged by the MBA program, we estimate that the average starting salary will decrease by $1474.94. O For every $1000 increase in the tuition charged by the MBA program, we estimate that the average starting salary will increase by $1474.94.
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