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

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

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

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 B. –0.973 C. –2.469 D x y

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 B. –0.973 C. –2.469 D x y

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 B. –0.973 C. –11.1 D. –1.8 x y

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 B. –0.973 C. –11.1 D. –1.8 x y

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. x y

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. x y

Slide 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 B C D. 50.5

Slide 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 B C D. 50.5

Slide 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 B. –0.973 C. –2.469 D x y

Slide 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 B. –0.973 C. –2.469 D x y

Slide 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 B C D x y

Slide 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 B C D x y

Slide 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 < y < B < y < C < y < D < y < x y

Slide 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 < y < B < y < C < y < D < y < x y

Slide 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

Slide 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