I need to understand HOW to get the answer to C. "Compute the linear regression equation based on the sample data." y= __ + (__)x
The part 2 to C asks, "A car weighs approx. X pounds. (I do not know the x pounds yet until I finish C part 1) Provide an estimate of the average highway mileage expected to obtain from this model." Can you show me how to set up the problem so I can input X when I have the number?
One of the editors of a major automobile publication has collected data on 30 of the best-selling cars in the United States. The data are shown in the accompanying table. The editor is particularly interested in the relationship between highway mileage (miles per gallon) and curb weight of the vehicles. Complete parts a through c below. Use a significance level of 0.05 where needed. Click the icon to view the automobile data. a. Develop a scatter plot for these data. Discuss what the plot implies about the relationship between the two variables. Assume that highway mileage is predicted from vehicle curb weight. Choose the correct graph below. O A. O B. C. OD. 36- 36- 36- MPG MPG MPG MPG 15- 15+ 15+ 15- 2500 5000 2500 5000 2500 5000 2500 5000 Weight (1b) Weight (1b) Weight (1b) Weight (1b) Discuss what the plot implies about the relationship between the two variables. Choose the correct answer below. A. A negative, linear relationship exists between x and y. O B. A positive, linear relationship exists between x and y. O C. A positive, curvilinear relationship exists between x and y. O D. There is no relationship b. Compute the correlation coefficient for the two variables and test to determine whether there is a linear relationship between the curb weight and the highway mileage of automobiles. r= -0.744 (Round to three decimal places as needed.) What are the appropriate hypotheses to test for a linear relationship? CA. Ho: P=0 OB. Ho: Pso HA: P#0 HA: P > 0 O C. Ho: p# 0 OD. Ho: P =0 HA : P=0 HA: P20 Calculate the t-test statistic for correlation. t= - 5.892 (Round to three decimal places as needed.)One of the editors of a major automobile publication has collected data on 30 of the best-selling cars in the United States. The data are shown in the accompanying table. The editor is particularly interested in the relationship between highway mileage (miles per gallon) and curb weight of the vehicles. Complete parts a through c below. Use a significance level of 0.05 where needed Click the icon to view the automobile data. A. A negative, linear relationship exists between x and y. O B. A positive, linear relationship exists between x and y. O C. A positive, curvilinear relationship exists between x and y. O D. There is no relationship. b. Compute the correlation coefficient for the two variables and test to determine whether there is a linear relationship between the curb weight and the highway mileage of automobiles. r= -0.744 (Round to three decimal places as needed.) What are the appropriate hypotheses to test for a linear relationship? A. Ho : P=0 OB. Ho: pso HA: P#0 HA : P > 0 O C. Ho: P# 0 OD. Ho: P
