1. Slide 4- 1 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Active Learning Lecture Slides For use with Classroom Response Systems Elementary Statistics: Picturing the World Fourth Edition by Larson and Farber Chapter 9: Correlation and Regression

2. Slide 9- 2 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Determine the type of correlation between the variables. A. Positive linear correlation B. Negative linear correlation C. No linear correlation

3. Slide 9- 3 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Determine the type of correlation between the variables. A. Positive linear correlation B. Negative linear correlation C. No linear correlation

4. Slide 9- 4 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Calculate the correlation coefficient r, for temperature (x) and number of cups of coffee sold per hour (y). A. 0.946 B. –0.973 C. –2.469 D. 81.760 x656055504540353025 y81011131216192223

5. Slide 9- 5 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Calculate the correlation coefficient r, for temperature (x) and number of cups of coffee sold per hour (y). A. 0.946 B. –0.973 C. –2.469 D. 81.760 x656055504540353025 y81011131216192223

6. Slide 9- 6 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Find the t test statistic to determine if the correlation coefficient for temperature (x) and number of cups of coffee sold per hour (y) is significant. A. 10.8 B. –0.973 C. –11.1 D. –1.8 x656055504540353025 y81011131216192223

7. Slide 9- 7 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Find the t test statistic to determine if the correlation coefficient for temperature (x) and number of cups of coffee sold per hour (y) is significant. A. 10.8 B. –0.973 C. –11.1 D. –1.8 x656055504540353025 y81011131216192223

8. Slide 9- 8 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Find the equation of the regression line for temperature (x) and number of cups of coffee sold per hour (y). A. B. C. D. x656055504540353025 y81011131216192223

9. Slide 9- 9 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Find the equation of the regression line for temperature (x) and number of cups of coffee sold per hour (y). A. B. C. D. x656055504540353025 y81011131216192223

10. Slide 9- 10 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley The equation of the regression line for temperature (x) and number of cups of coffee sold per hour (y) is Predict the number of cups of coffee sold per hour when the temperature is 48 º. A. 41.4 B. 30.7 C. 13.8 D. 50.5

11. Slide 9- 11 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley The equation of the regression line for temperature (x) and number of cups of coffee sold per hour (y) is Predict the number of cups of coffee sold per hour when the temperature is 48 º. A. 41.4 B. 30.7 C. 13.8 D. 50.5

12. Slide 9- 12 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Calculate the coefficient of determination r 2, for temperature (x) and number of cups of coffee sold per hour (y). A. 0.946 B. –0.973 C. –2.469 D. 81.760 x656055504540353025 y81011131216192223

13. Slide 9- 13 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Calculate the coefficient of determination r 2, for temperature (x) and number of cups of coffee sold per hour (y). A. 0.946 B. –0.973 C. –2.469 D. 81.760 x656055504540353025 y81011131216192223

14. Slide 9- 14 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Find the standard error of the estimate s e, for temperature (x) and number of cups of coffee sold per hour (y). A. 0.139 B. 12.47 C. 1.78 D. 1.33 x656055504540353025 y81011131216192223

15. Slide 9- 15 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Find the standard error of the estimate s e, for temperature (x) and number of cups of coffee sold per hour (y). A. 0.139 B. 12.47 C. 1.78 D. 1.33 x656055504540353025 y81011131216192223

16. Slide 9- 16 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Construct a 95% prediction interval for the number of cups of coffee sold per hour (y) when the temperature (x) is 48 º. s e ≈ 1.33, A. 11.255 < y < 16.255 B. 10.241 < y < 17.269 C. 10.431 < y < 17.079 D. 12.707 < y < 14.803 x656055504540353025 y81011131216192223

17. Slide 9- 17 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Construct a 95% prediction interval for the number of cups of coffee sold per hour (y) when the temperature (x) is 48 º. s e ≈ 1.33, A. 11.255 < y < 16.255 B. 10.241 < y < 17.269 C. 10.431 < y < 17.079 D. 12.707 < y < 14.803 x656055504540353025 y81011131216192223

18. Slide 9- 18 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley To predict the price of a used Toyota Camry, use the equation where x 1 is the age of the car (in years) and x 2 is the mileage (in thousands). Predict the y-value for x 1 = 6 and x 2 = 54. A. $17,612 B. $15,982 C. $18,526 D. $22,174

19. Slide 9- 19 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley To predict the price of a used Toyota Camry, use the equation where x 1 is the age of the car (in years) and x 2 is the mileage (in thousands). Predict the y-value for x 1 = 6 and x 2 = 54. A. $17,612 B. $15,982 C. $18,526 D. $22,174