Refer to Exhibit 15 1 The coefficient of determination for the above model is a

# Refer to exhibit 15 1 the coefficient of

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45.Refer to Exhibit 15-1. The coefficient of determination for the above model is a.0.667b.0.600c.0.336d.0.400ANS: B 46.Refer to Exhibit 15-1. MSR for this model is 47.Refer to Exhibit 15-1. The computed F statistics for testing the significance of the above model is Exhibit 15-2A regression model between sales (Y in \$1,000), unit price (X1in dollars) and television advertisement(X2in dollars) resulted in the following function:For this model SSR = 3500, SSE = 1500, and the sample size is 18. 48.Refer to Exhibit 15-2. The coefficient of the unit price indicates that if the unit price is 49.Refer to Exhibit 15-2. The coefficient of X2indicates that if television advertising is increased by \$1 (holding the unit price constant), sales are expected to a.increase by \$5b. increase by \$12,000 c. increase by \$5,000 d.decrease by \$2,000ANS: C 50.Refer to Exhibit 15-2. To test for the significance of the model, the test statistic F is 51.Refer to Exhibit 15-2. To test for the significance of the model, the p-value is 52.Refer to Exhibit 15-2. The multiple coefficient of correlation for this problem is Exhibit 15-3In a regression model involving 30 observations, the following estimated regression equation was obtained:For this model SSR = 700 and SSE = 100. 53.Refer to Exhibit 15-3. The coefficient of determination for the above model is approximately a.-0.875b.0.875c.0.125d.0.144ANS: B 54.Refer to Exhibit 15-3. The computed F statistic for testing the significance of the above model is 55. Refer to Exhibit 15-3. The critical F value at 95% confidence is 56.Refer to Exhibit 15-3. The conclusion is that the Exhibit 15-4a. b. c. d. 57.Which equation describes the multiple regression model? a.Equation Ab.Equation Bc.Equation Cd.Equation DANS: A  #### You've reached the end of your free preview.

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