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 (r2) = .6364.Test to determine if there is a significant correlation between the monthly tire sales and monthly advertising expenditures.Use H0: = 0 vs.HA: 0 at = .05.
A) Reject the null hypothesis
B) Fail to reject the null hypothesis
Correct Answer:
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