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A Local Tire Dealer Wants to Predict the Number of Tires

Question 109

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A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars) .Based on the data set with 6 observations,the simple linear regression equation of the least squares line is A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars) .Based on the data set with 6 observations,the simple linear regression equation of the least squares line is = 3 + 1x. = 24 = 124 = 42 = 338 = 196 MSE = 4 Use the least squares regression equation and estimate the monthly tire sales when advertising expenditures is $4000. A) 4000 tires B) 1000 tires C) 3000 tires D) 7000 tires = 3 + 1x. A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars) .Based on the data set with 6 observations,the simple linear regression equation of the least squares line is = 3 + 1x. = 24 = 124 = 42 = 338 = 196 MSE = 4 Use the least squares regression equation and estimate the monthly tire sales when advertising expenditures is $4000. A) 4000 tires B) 1000 tires C) 3000 tires D) 7000 tires = 24 A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars) .Based on the data set with 6 observations,the simple linear regression equation of the least squares line is = 3 + 1x. = 24 = 124 = 42 = 338 = 196 MSE = 4 Use the least squares regression equation and estimate the monthly tire sales when advertising expenditures is $4000. A) 4000 tires B) 1000 tires C) 3000 tires D) 7000 tires = 124 A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars) .Based on the data set with 6 observations,the simple linear regression equation of the least squares line is = 3 + 1x. = 24 = 124 = 42 = 338 = 196 MSE = 4 Use the least squares regression equation and estimate the monthly tire sales when advertising expenditures is $4000. A) 4000 tires B) 1000 tires C) 3000 tires D) 7000 tires = 42 A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars) .Based on the data set with 6 observations,the simple linear regression equation of the least squares line is = 3 + 1x. = 24 = 124 = 42 = 338 = 196 MSE = 4 Use the least squares regression equation and estimate the monthly tire sales when advertising expenditures is $4000. A) 4000 tires B) 1000 tires C) 3000 tires D) 7000 tires = 338 A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars) .Based on the data set with 6 observations,the simple linear regression equation of the least squares line is = 3 + 1x. = 24 = 124 = 42 = 338 = 196 MSE = 4 Use the least squares regression equation and estimate the monthly tire sales when advertising expenditures is $4000. A) 4000 tires B) 1000 tires C) 3000 tires D) 7000 tires = 196 MSE = 4
Use the least squares regression equation and estimate the monthly tire sales when advertising expenditures is $4000.


A) 4000 tires
B) 1000 tires
C) 3000 tires
D) 7000 tires

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