copyright © 2014, 2011 pearson education, inc. 1 active learning lecture slides for use with...
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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. FalseTRANSCRIPT
Copyright © 2014, 2011 Pearson Education, Inc. 1
Active Learning Lecture SlidesFor use with Classroom Response Systems
Chapter 23Multiple Regression
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
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
Copyright © 2014, 2011 Pearson Education, Inc. 4
Deviations of the residuals from normality may suggest an important omitted variable.
A. True
B. False
Copyright © 2014, 2011 Pearson Education, Inc. 5
Deviations of the residuals from normality may suggest an important omitted variable.
A. True
B. False
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
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
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.
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.
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.
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.
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.
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.
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.
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.
Copyright © 2014, 2011 Pearson Education, Inc. 16
Partial and marginal slopes only agree when the explanatory variables are uncorrelated.
A. True
B. False
Copyright © 2014, 2011 Pearson Education, Inc. 17
Partial and marginal slopes only agree when the explanatory variables are uncorrelated.
A. True
B. False
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.
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.
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.
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.
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
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