An academic advisor wants to predict the typical starting salary of a graduate stop business school...
Solve the problem. An academic advisor wants to predict the typical starting salary of a graduate at a top business school using the GMAT score of the school as a predictor variable. A simple linear regression of SALARY versus GMAT using 25 data points is shown below. 0 = -92040 1 = 228 s = 3213 df = 23 t = 6.67 Set up the null and alternative hypotheses for testing whether a linear relationship exists between SALARY and GMAT.
Each year U.S. News & World Report conducts its "Survey of America's Best Graduate and Professional Schools." The top 25 business schools in 1991, as determined by reputation, student selectivity, placement success, and graduation rate, are listed in the table. For each school, three variables were measured: (1) GMAT score for the typical incoming student; (2) student acceptance rate (percentage accepted of all students who applied); and (3) starting salary of the typical graduating student. School GMAT Acc. Rate (%)...
7. Find the equation of the regress ion line by letting Row 1 represent the x-values and Row 2 represent the y-values. Now find the equation of the regression line letting Row 2 represent the x-valu es and Row 1 represent the y-values What effect does switching the explanatory and response variables have on the regression line? Support your answ er by showing the equation for each situ ation. Row 1-43 5 1 -2-2 0 -1 3 -4 Row 2-10-7...