active learning lecture slides for use with classroom response systems

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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 Regressio n Model

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Chapter 21 The Simple Regression Model. Active Learning Lecture Slides For use with Classroom Response Systems. True False. The simple regression model (SRM) describes the population in regression analysis with one explanatory variable. True False. - PowerPoint PPT Presentation

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Copyright © 2014, 2011 Pearson Education, Inc. 1

Active Learning Lecture Slides

For use with Classroom Response Systems

Chapter 21The Simple RegressionModel

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

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

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.

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.

Copyright © 2014, 2011 Pearson Education, Inc. 6

The deviations of observed responses around the conditional means µy|x are called…

A. mistakes.

B. errors.

C. corrections.

D. averages.

Copyright © 2014, 2011 Pearson Education, Inc. 7

The deviations of observed responses around the conditional means µy|x are called…

A. mistakes.

B. errors.

C. corrections.

D. averages.

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

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

Copyright © 2014, 2011 Pearson Education, Inc. 10

The SRM makes assumptions about the values of the explanatory variable.

A. True

B. False

Copyright © 2014, 2011 Pearson Education, Inc. 11

The SRM makes assumptions about the values of the explanatory variable.

A. True

B. False

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 variablesIII. errors are independentIV. variances of the residuals are similarV. 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

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 variablesIII. errors are independentIV. variances of the residuals are similarV. 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

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.

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.

Copyright © 2014, 2011 Pearson Education, Inc. 16

Failing to reject H0: B1 = 0

A. proves B1 = 0

B. does not prove B1 = 0

C. proves proves B1 > 0

D. proves proves B1 < 0

Copyright © 2014, 2011 Pearson Education, Inc. 17

Failing to reject H0: B1 = 0

A. proves B1 = 0

B. does not prove B1 = 0

C. proves proves B1 > 0

D. proves proves B1 < 0

Copyright © 2014, 2011 Pearson Education, Inc. 18

Failure to reject H0 shows that B1 might be zero, not that it is zero.

A. True

B. False

Copyright © 2014, 2011 Pearson Education, Inc. 19

Failure to reject H0 shows that B1 might be zero, not that it is zero.

A. True

B. False

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.

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.