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Simple Linear Regression Analysis

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One of the editors of a major automobile publication has collected data on 30 of the best-selling cars in the United States. The editor is particularly interested in the relationship between highway mileage and curb weight of the vehicles.

a. Develop a scatter plot for these data. Discuss what the plot implies about the relationship between two variables. Assume that you wish to predict highway mileage by using vehicle curb weight.

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 mileages of automobiles.

c. (1) Compute the linear regression equation based on the sample data (2) Cadillac's 1999 Sedan DeVille weight approximately 4,012 pounds. Provide an estimate of the average highway mileage you would expect to obtain from this model

[See automobile information attached in solution.]

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One of the editors of a major automobile publication has collected data on 30 of the best-selling cars in the United States. The editor is particularly interested in the relationship between highway mileage and curb weight of the vehicles.

a. Develop a scatter plot for these data. Discuss what the plot implies about the relationship between two variables. Assume that you wish to predict highway mileage by using ...

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