Question # 6. A regional retailer would like to determine variation in average monthly store sales can, in part, be explained by the size of the store measured in square feet. A random sample of 21 stores was selected and the store size and average monthly sales were compound. Given the following results n=12, Ex=55, Ey=4855, Ex² = 329² = 2240687 and Exy=26091; a. Find the correlation coefficient between the store size and average monthly sales. b. Using a level of significance of a = 0.01, test to determine whether there is a positive linear relationship between store size and average monthly sales.

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Question # 6.
A regional retailer would like to determine variation in average monthly store sales can, in part, be explained by the size
of the store measured in square feet. A random sample of 21 stores was selected and the store size and average monthly
sales were compound. Given the following results
n = 12, Ex = 55, Ey=4855, Ex² = 329²2240687 and Exy = 26091;
a. Find the correlation coefficient between the store size and average monthly sales.
b. Using a level of significance of a = 0.01, test to determine whether there is a positive linear relationship between
store size and average monthly sales.
Transcribed Image Text:Question # 6. A regional retailer would like to determine variation in average monthly store sales can, in part, be explained by the size of the store measured in square feet. A random sample of 21 stores was selected and the store size and average monthly sales were compound. Given the following results n = 12, Ex = 55, Ey=4855, Ex² = 329²2240687 and Exy = 26091; a. Find the correlation coefficient between the store size and average monthly sales. b. Using a level of significance of a = 0.01, test to determine whether there is a positive linear relationship between store size and average monthly sales.
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