1. Copyright © 2014, 2011 Pearson Education, Inc. 1 Active Learning Lecture Slides For use with Classroom Response Systems Chapter 23 Multiple Regression

2. Copyright © 2014, 2011 Pearson Education, Inc. 2 The multiple regression model (MRM) models the association in the population between multiple explanatory variables and a response. A. True B. False

3. Copyright © 2014, 2011 Pearson Education, Inc. 3 The multiple regression model (MRM) models the association in the population between multiple explanatory variables and a response. A. True B. False

4. Copyright © 2014, 2011 Pearson Education, Inc. 4 Deviations of the residuals from normality may suggest an important omitted variable. A. True B. False

5. Copyright © 2014, 2011 Pearson Education, Inc. 5 Deviations of the residuals from normality may suggest an important omitted variable. A. True B. False

6. Copyright © 2014, 2011 Pearson Education, Inc. 6 A scatterplot matrix allows us to determine visually how strong the association is among the different pairs of variables. A. True B. False

7. Copyright © 2014, 2011 Pearson Education, Inc. 7 A scatterplot matrix allows us to determine visually how strong the association is among the different pairs of variables. A. True B. False

8. Copyright © 2014, 2011 Pearson Education, Inc. 8 The adjusted R-squared takes account of… A. the number of explanatory variables. B. the number of observations. C. the number of outliers. D. both A. and B. above.

9. Copyright © 2014, 2011 Pearson Education, Inc. 9 The adjusted R-squared takes account of… A. the number of explanatory variables. B. the number of observations. C. the number of outliers. D. both A. and B. above.

10. Copyright © 2014, 2011 Pearson Education, Inc. 10 The formula for the residual degrees of freedom in a multiple regression is… A. n – 1. B. k – 1. C. n – k. D. n – k – 1.

11. Copyright © 2014, 2011 Pearson Education, Inc. 11 The formula for the residual degrees of freedom in a multiple regression is… A. n – 1. B. k – 1. C. n – k. D. n – k – 1.

12. Copyright © 2014, 2011 Pearson Education, Inc. 12 Because the slope in a multiple regression separates the effects of the explanatory variables, it is known as a… A. inverse slope. B. reciprocal slope. C. marginal slope. D. partial slope.

13. Copyright © 2014, 2011 Pearson Education, Inc. 13 Because the slope in a multiple regression separates the effects of the explanatory variables, it is known as a… A. inverse slope. B. reciprocal slope. C. marginal slope. D. partial slope.

14. Copyright © 2014, 2011 Pearson Education, Inc. 14 Because the slopes in a simple regression average over excluded explanatory variables, we call them… A. inverse slopes. B. reciprocal slopes. C. marginal slopes. D. partial slopes.

15. Copyright © 2014, 2011 Pearson Education, Inc. 15 Because the slopes in a simple regression average over excluded explanatory variables, we call them… A. inverse slopes. B. reciprocal slopes. C. marginal slopes. D. partial slopes.

16. Copyright © 2014, 2011 Pearson Education, Inc. 16 Partial and marginal slopes only agree when the explanatory variables are uncorrelated. A.True B.False

17. Copyright © 2014, 2011 Pearson Education, Inc. 17 Partial and marginal slopes only agree when the explanatory variables are uncorrelated. A.True B.False

18. Copyright © 2014, 2011 Pearson Education, Inc. 18 A schematic drawing of the relationships among the explanatory variables and the response is called a… A.tree diagram. B.path diagram. C.Venn diagram. D.correlation diagram.

19. Copyright © 2014, 2011 Pearson Education, Inc. 19 A schematic drawing of the relationships among the explanatory variables and the response is called a… A.tree diagram. B.path diagram. C.Venn diagram. D.correlation diagram.

20. Copyright © 2014, 2011 Pearson Education, Inc. 20 Correlation among the explanatory variables in a multiple regression that makes the estimates uninterpretable is called… A.multilinearity. B.collinearity. C.linearity. D.nonlinearity.

21. Copyright © 2014, 2011 Pearson Education, Inc. 21 Correlation among the explanatory variables in a multiple regression that makes the estimates uninterpretable is called… A.multilinearity. B.collinearity. C.linearity. D.nonlinearity.

22. Copyright © 2014, 2011 Pearson Education, Inc. 22 The F-test uses the F-statistic to test the collective effect of all of the explanatory variables on the response. A.True B.False

23. Copyright © 2014, 2011 Pearson Education, Inc. 23 The F-test uses the F-statistic to test the collective effect of all of the explanatory variables on the response. A.True B.False