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 T P
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
In addition, we are told that the coefficient of correlation was calculated to be r = 0.7763. Interpret this result.
◦ There is almost no linear relationship between the amount of tuition charged and the average starting salary variables.
◦ There is a fairly strong negative linear relationship between the amount of tuition charged and the average starting salary variables.
◦ There is a very weak positive linear relationship between the amount of tuition charged and the average starting salary variables.
◦ There is a fairly strong positive linear relationship between the amount of tuition charged and the average starting salary variables.
Gaser and Schlaug's study of the size of visual, motor, and auditory nuclei in the brains of mu
Uranus revolves around the Sun once every 84 Earth years. Its average distance from the Sun is rough
Sleeping study
Group Study
How to find the average value of a function (Part 2)
How to find the average atomic mass of an element