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 monthly tire sales (in thousands of tires) and monthly advertising expenditures (in thousands of dollars). The simple linear regression equation is ŷ = 3 + 1x. The dealer randomly selects one of the six observations, with a monthly sales value of 8,000 tires and monthly advertising expenditures of $7,000. Calculate the value of the residual for this observation.

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The Answer of 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 monthly tire sales (in thousands of tires) and monthly advertising expenditures (in thousands of dollars). The simple linear regression equation is ŷ = 3 + 1x. The dealer randomly selects one of the six observations, with a monthly sales value of 8,000 tires and monthly advertising expenditures of $7,000. Calculate the value of the residual for this observation.

A Local Tire Dealer Wants to Predict the Number of Tires