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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 = 3 + 1x.
= 24
= 124
= 42
= 338
= 196 MSE = 4
Using the sums of the squares given above,determine the 90% prediction interval for an individual month's tire sales when the advertising expenditure is $5000.
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A measure of how effectively a company uses its resources to achieve its objectives and fulfill stakeholder expectations.
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