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Active Learning Lecture Slides For use with Classroom Response Systems

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.

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Active Learning Lecture Slides For use with Classroom Response Systems

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  1. Chapter 21The Simple RegressionModel Active Learning Lecture Slides For use with Classroom Response Systems

  2. True False The simple regression model (SRM) describes the population in regression analysis with one explanatory variable.

  3. True False The simple regression model (SRM) describes the population in regression analysis with one explanatory variable.

  4. an absolute mean. a relative mean. a conditional mean. a conditional median. The average of one variable given that another variable takes on a specific value is called…

  5. an absolute mean. a relative mean. a conditional mean. a conditional median. The average of one variable given that another variable takes on a specific value is called…

  6. mistakes. errors. corrections. averages. The deviations of observed responses around the conditional means µy|x are called…

  7. mistakes. errors. corrections. averages. The deviations of observed responses around the conditional means µy|x are called…

  8. Independent Equal variance Normal All of the above Which of the following are assumptions the SRM makes about errors?

  9. Independent Equal variance Normal All of the above Which of the following are assumptions the SRM makes about errors?

  10. True False The SRM makes assumptions about the values of the explanatory variable.

  11. True False The SRM makes assumptions about the values of the explanatory variable.

  12. association between y and x is linear no obvious lurking variables errors are independent variances of the residuals are similar residuals are nearly normal Which of the following are conditions for the SRM? • I, II, and III • I, III, and V • I, II, III and IV • I, II, III, IV and V

  13. association between y and x is linear no obvious lurking variables errors are independent variances of the residuals are similar residuals are nearly normal Which of the following are conditions for the SRM? • I, II, and III • I, III, and V • I, II, III and IV • I, II, III, IV and V

  14. predict the variation in a sample. estimate the mean variance. estimate the sample to sample variation. predict the sample to sample variation. The job of the standard error is to…

  15. predict the variation in a sample. estimate the mean variance. estimate the sample to sample variation. predict the sample to sample variation. The job of the standard error is to…

  16. proves B1 = 0 does not prove B1 = 0 proves proves B1 > 0 proves proves B1 < 0 Failing to reject H0: B1 = 0

  17. proves B1 = 0 does not prove B1 = 0 proves proves B1 > 0 proves proves B1 < 0 Failing to reject H0: B1 = 0

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

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

  20. confidence interval. t-interval. z-interval. prediction interval. 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…

  21. confidence interval. t-interval. z-interval. prediction interval. 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…

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