A regional retailer would like to determine if the variation in average monthly store sales can, in
Question:
Store Size (Sq. Ft) Average Monthly Sales
17400…………………………………$581,241.00
15920…………………………………$538,275.00
17440…………………………………$636,059.00
17320…………………………………$574,477.00
15760…………………………………$558,043.00
20200…………………………………$689,256.00
15280…………………………………$552,569.00
17000…………………………………$584,737.00
11920…………………………………$470,551.00
12400…………………………………$520,798.00
15640…………………………………$619,703.00
12560…………………………………$465,416.00
21680…………………………………$730,863.00
14120…………………………………$501,501.00
16680…………………………………$624,255.00
14920…………………………………$567,043.00
18360…………………………………$612,974.00
18440…………………………………$618,122.00
16720…………………………………$691,403.00
19880…………………………………$719,275.00
17880…………………………………$536,592.00
a. Compute the simple linear regression model using the sample data to determine whether variation in average monthly sales can be explained by store size. Interpret the slope and intercept coefficients.
b. Test for the significance of the slope coefficient of the regression model. Use a level of significance of 0.05.
c. Based on the estimated regression model, what percentage of the total variation in average monthly sales can be explained by store size?
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a The relevant results from the regressionoutput are shown below Coefficients Standard Error t Stat ...View the full answer
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Related Book For 
Business Statistics A Decision Making Approach
ISBN: 9780133021844
9th Edition
Authors: David F. Groebner, Patrick W. Shannon, Phillip C. Fry
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