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A local tire dealer wants to predict the number of tires sold each month. The dealer believes that the number of tires sold is a linear function of the amount of money invested in advertising. The dealer 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 model yielded the following results.
= 24 =124 =42 =338 =196
-What is the degrees of freedom value associated with the error sum of squares,or unexplained variation?
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