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Copyright © 2014, 2011 Pearson Education, Inc. 1 Active Learning Lecture Slides For use with Classroom Response Systems Chapter 21 The Simple Regression Model
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Copyright © 2014, 2011 Pearson Education, Inc. 2 The simple regression model (SRM) describes the population in regression analysis with one explanatory variable. A. True B. False
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Copyright © 2014, 2011 Pearson Education, Inc. 3 The simple regression model (SRM) describes the population in regression analysis with one explanatory variable. A. True B. False
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Copyright © 2014, 2011 Pearson Education, Inc. 4 The average of one variable given that another variable takes on a specific value is called… A. an absolute mean. B. a relative mean. C. a conditional mean. D. a conditional median.
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Copyright © 2014, 2011 Pearson Education, Inc. 5 The average of one variable given that another variable takes on a specific value is called… A. an absolute mean. B. a relative mean. C. a conditional mean. D. a conditional median.
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Copyright © 2014, 2011 Pearson Education, Inc. 6 The deviations of observed responses around the conditional means µ y|x are called… A. mistakes. B. errors. C. corrections. D. averages.
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Copyright © 2014, 2011 Pearson Education, Inc. 7 The deviations of observed responses around the conditional means µ y|x are called… A. mistakes. B. errors. C. corrections. D. averages.
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Copyright © 2014, 2011 Pearson Education, Inc. 8 Which of the following are assumptions the SRM makes about errors? A. Independent B. Equal variance C. Normal D. All of the above
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Copyright © 2014, 2011 Pearson Education, Inc. 9 Which of the following are assumptions the SRM makes about errors? A. Independent B. Equal variance C. Normal D. All of the above
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Copyright © 2014, 2011 Pearson Education, Inc. 10 The SRM makes assumptions about the values of the explanatory variable. A. True B. False
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Copyright © 2014, 2011 Pearson Education, Inc. 11 The SRM makes assumptions about the values of the explanatory variable. A. True B. False
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Copyright © 2014, 2011 Pearson Education, Inc. 12 Which of the following are conditions for the SRM? I.association between y and x is linear II.no obvious lurking variables III.errors are independent IV.variances of the residuals are similar V.residuals are nearly normal A.I, II, and III B.I, III, and V C.I, II, III and IV D.I, II, III, IV and V
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Copyright © 2014, 2011 Pearson Education, Inc. 13 Which of the following are conditions for the SRM? I.association between y and x is linear II.no obvious lurking variables III.errors are independent IV.variances of the residuals are similar V.residuals are nearly normal A.I, II, and III B.I, III, and V C.I, II, III and IV D.I, II, III, IV and V
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Copyright © 2014, 2011 Pearson Education, Inc. 14 The job of the standard error is to… A.predict the variation in a sample. B.estimate the mean variance. C.estimate the sample to sample variation. D.predict the sample to sample variation.
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Copyright © 2014, 2011 Pearson Education, Inc. 15 The job of the standard error is to… A.predict the variation in a sample. B.estimate the mean variance. C.estimate the sample to sample variation. D.predict the sample to sample variation.
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Copyright © 2014, 2011 Pearson Education, Inc. 16 Failing to reject H 0 : B 1 = 0 A.proves B 1 = 0 B.does not prove B 1 = 0 C.proves proves B 1 > 0 D.proves proves B 1 < 0
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Copyright © 2014, 2011 Pearson Education, Inc. 17 Failing to reject H 0 : B 1 = 0 A.proves B 1 = 0 B.does not prove B 1 = 0 C.proves proves B 1 > 0 D.proves proves B 1 < 0
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Copyright © 2014, 2011 Pearson Education, Inc. 18 Failure to reject H 0 shows that B 1 might be zero, not that it is zero. A.True B.False
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Copyright © 2014, 2011 Pearson Education, Inc. 19 Failure to reject H 0 shows that B 1 might be zero, not that it is zero. A.True B.False
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Copyright © 2014, 2011 Pearson Education, Inc. 20 An interval that is designed to hold a fraction (usually 95%) of the values of the response for a given value x of the explanatory variable in a regression is called a… A.confidence interval. B.t-interval. C.z-interval. D.prediction interval.
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Copyright © 2014, 2011 Pearson Education, Inc. 21 An interval that is designed to hold a fraction (usually 95%) of the values of the response for a given value x of the explanatory variable in a regression is called a… A.confidence interval. B.t-interval. C.z-interval. D.prediction interval.
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