Solve the problem. 41) The the percentage of total variation in the response var
ID: 2907419 • Letter: S
Question
Solve the problem. 41) The the percentage of total variation in the response variable that is 4) B) Sum of the residuals squared explained by the least squares regression line. A) Coefficient of linear correlation O Slope of the regression line 42) 42) The cocfficient of determination hSquare root of the linear correlation coefficient A) Opposite D) Square B) Reciprocal al chonlily recognized publication conducts is Survey of America's Best Graduste and s) Professional Schools An academic advisor wants to predict the typical starting salary of a graduate at a top business of school using GMAT score of the school as a predictor variable. A simple linear regression SALARY versus GMAT using 25 data points shown below. bo--92040 b1 - 228 s 3213 R2-66r 81 di-23 t 667 Give a practical interpretation of R2- 66 A) We estimate SALARY to increase 5.66 for every 1-point increase in CMAT B) We can predict SALARY correctly 60%of the timeusingGMAT in a straight-line model. C) 66% of the sample variation in SALARY can be explained by using GMAT in a straight-line model. D) We expect to predict SALARY to within 26-$1,620 of its true value using GMAT in a straight-line model.Explanation / Answer
41) ANS: D) Coefficient of determination.
42) ANS: D) Square.
43) ANS: C) 66% of the sample variatiion in SALARY can be explained by using GMAT in a straight line model.
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