Company sells quality brands of paints through hardware stores throughout the United States. The company maintains a large sales force who call on existing customers and look for new business. The national sales manager is investigating the relationship between the number of sales calls made and the miles driven by the sales representative. Also, do the sales representatives who drive the most miles and make the most calls necessarily earn the most in sales commissions? To investigate the vice president of sales selected a sample of 25 sales representatives and determined: • The amount earned in commissions last month - The number of miles driven last month (x2) • The number of sales calls made last month (x2) The information is reported below. Commissions (5000) Comissions (5000) 22 13 33 Calls 140 132 145 143 143 143 Driven 2,372 2,226 2.732 3,351 2,290 3.449 3,114 1. 343 2,343 2,625 2,122 2,220 3,463 23 47 29 38 41 32 2e 13 47 142 144 148 144 150 131 145 133 132 127 155 147 44 49 38 37 14 34 25 22 25 43 34 138 Driven 3,290 3.103 2,123 2,791 3.210 2,287 2,848 2,691 2,933 2,672 2,988 2,829 139 145 135 136 132 146
Develop a regression equation including an interaction term (Negative amount should be indicated by a minus sign. Round your answers to 3 decimal places.) Commons Colls Mile Complete the following table. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.) Coefficient SE Coefficient p.value Predictor Constant Calls Miles |Xgx2
Compute the value of the test statistic corresponding to the interaction term (Negative amount should be indicated by a minus sign Round your answer to 2 decimal places.) Value of the test statinti At the 0.05 significance level. Is there a significant interaction between the number of sales calls and the miles driven? This is rowe conclude that there
Cincinnati Paint Cincinnati Paint Company sells quality brands of paints through hardware stores throughout the United States. The compan
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