Sherwin Williams sells paints in hardware stores across the U.S. The company maintains a large sales force who call on existing customers and look for new business. The sales manager is investigating the relationship between the # of sales calls made and the miles driven by sales representatives. Also, do the sales representatives who drive the most miles and make the most calls necessarily earn the most in sales comissions? To investigate, the VP selected a sample of 25 sales representatives and determined:

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Sherwin Williams sells paints in hardware stores across the U.S. The company maintains a large sales force who call on existing customers and look for new business. The sales manager is investigating the relationship between the # of sales calls made and the miles driven by sales representatives. Also, do the sales representatives who drive the most miles and make the most calls necessarily earn the most in sales comissions? To investigate, the VP selected a sample of 25 sales representatives and determined: 

The amount earned in comissions last month (y) ; The number of miles driven last month (x1) ; The number of sales calls made last month (x2) 

*See attached for information

  • Develop a regression equation including an interaction term. (round to 3 decimal places) 

Comissions = ? + ? Calls + ? Miles + ? x1x2

  • Complete the following table: 
Predictor Coefficient SE Coefficient t p-value
Constant        
Calls        
Miles         
X1X2        
  • Compute the value of the test statistic corresponding to the interaction term (round to 2 decimal places) 
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