n College 2000 Midterm # 1 Professor Alvarudo-De Jesus uestions 40- 50 refer to
ID: 3368721 • Letter: N
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n College 2000 Midterm # 1 Professor Alvarudo-De Jesus uestions 40- 50 refer to the following example. The director of graduate prograr n their MB Spring 2018-Page 9 college of business would like to predict the grade point average (GP). A sample of 20 programs based on their Graduate Management Aptitude Test (GMAT S students who completed 2 years in the program is selected) e. The director of graduate programs at a large of students in their MBA score. A sample of 20 Use the Excel output on the next page for Questions questions 40-50 to answer the SUMMARY OUTPUT Multiple R Regression Statistics 0914 R Square Adjusted R Square Standard Error Observations 0 826 0.144 20 ANOVA 1.8887 0.3728 2.2615 df Regression Residual 18 19 Total Standard Error Coefficients 0.165 0.005 0.3338 0.0005 Intercept GMAT 40. The least squares regression line for this problem is b) .005+,165x c) ?-165-005x d) y165+.005x 41. The value of the slope is a) .165 .005 .005 d)-.165Explanation / Answer
Q.40) y=intercept+Beta1*x
Intercept :-0.165 and beta1 =0.005
Ans:- a)
Q.41)on lease square regression line beta1 is treated as slope .here beta1 is 0.005
Ans:- c)
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