SampleFinalExam

# SampleFinalExam - MGMT 305 Fall 2011 Sample Final Exam If x...

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MGMT 305 Fall 2011 Sample Final Exam 1. If x and y are negatively related in a linear regression model, then a. y is negative b. is negative c. the coefficient of correlation is negative d. the coefficient of determination is negative 2. Larger values of r 2 imply that the observations are more closely grouped about the a. average value of the independent variables b. average value of the dependent variable c. least squares regression line d. origin 3. Which estimated regression equation has a better fit? a. with a larger SSR b. with a larger SSE c. with a larger SST d. with a larger r 2 4. Compared to the interval estimate for a particular value of y (in a linear regression model), the interval estimate for an average value of y will be a. narrower b. wider c. the same d. None of these alternatives is correct. 5. Application of the least squares method results in values of the y intercept and the slope which minimizes the sum of the squared deviations between the a. observed values of the independent variable and the estimated values of the independent variable b. actual values of the independent variable and estimated values of the dependent variable c. observed values of the dependent variable and the estimated values of the dependent variable d. None of these alternatives is correct. 6. In a regression and correlation analysis if r 2 = 0.5, then a. SSE = SST b. SSE = 1 c. SSR = SST d. SSR = SSE Exhibit 1 The following estimated regression model was developed relating yearly income (Y in

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\$1,000s) of 30 individuals with their age (X 1 ) and their gender (X 2 ) (0 if male and 1 if female). = 30 + 0.7X 1 + 3X 2 Also provided are SST = 1,200 and SSE = 384. 7. Refer to Exhibit 1. The yearly income of a 24-year-old female individual is a. \$19.80 b. \$19,800 c. \$49.80 d. \$49,800 8. Refer to Exhibit 1. The multiple coefficient of determination is a. 0.32 b. 0.42 c. 0.68 d. 0.50 9. A test on the significance of the model based on an F test, should yield which of the following conclusion? (Based on a 5% significance level) ANOVA df SS MS F p-value Regression 1 309.9516 309.9516 6.325517 0.024736 Residual 14 686.0028 49.0002 Total 15 995.9544 a. Since P-value < α, we do not reject the null hypothesis. b. Since P-value < α, there exists a significant linear relationship between the independent variable and the dependent variable. c.
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SampleFinalExam - MGMT 305 Fall 2011 Sample Final Exam If x...

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