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A Local Tire Dealer Wants to Predict the Number of Tires

Question 102

Multiple Choice

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  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   = 3 + 1X and sample correlation coefficient (r<sup>2</sup>) = .6364.Test to determine if there is a significant correlation between the monthly tire sales and monthly advertising expenditures.Use H<sub>0</sub>:  \rho = 0 vs.H<sub>A</sub>:  \rho   \neq  0 at  \alpha  = .05. A) Reject the null hypothesis B) Fail to reject the null hypothesis = 3 + 1X and sample correlation coefficient (r2) = .6364.Test to determine if there is a significant correlation between the monthly tire sales and monthly advertising expenditures.Use H0: ρ\rho = 0 vs.HA: ρ\rho \neq 0 at α\alpha = .05.


A) Reject the null hypothesis
B) Fail to reject the null hypothesis

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