hw11asol - Homework 11 Solutions 1. SUMMARY OUTPUT...

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Homework 11 Solutions 1. SUMMARY OUTPUT Regression Statistics Multiple R 0.997159 R Square 0.994326 Adjusted R Square 0.992435 Standard Error 0.370161 Observations 9 ANOVA df SS MS F Significanc e F Regression 2 144.0668 72.03339 525.7184 1.83E-07 Residual 6 0.822114 0.137019 Total 8 144.8889 Coefficient s Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 2.529431 0.28843 8.769662 0.000122 1.823669 3.235193 1.823669 3.23519 A 1.758049 0.069371 25.3426 2.49E-07 1.588303 1.927794 1.588303 1.92779 P -0.35187 0.070644 -4.98087 0.0025 -0.52473 -0.17901 -0.52473 -0.1790 So, a $1M increase in selling expense leads to a 1.76M increase in units sold. Also, a $1 increase in price leads to a decrease of 351,870 units sold. (Note that the fit is quite good for this model).
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2. SUMMARY OUTPUT Regression Statistics Multiple R 0.987033 R Square 0.974233 Adjusted R Square 0.965645 Standard Error 0.037883 Observations 9 ANOVA df SS MS F Significanc e F Regression 2 0.325575 0.162787
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This note was uploaded on 04/14/2009 for the course ISYE 4803 taught by Professor Staff during the Spring '08 term at Georgia Institute of Technology.

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hw11asol - Homework 11 Solutions 1. SUMMARY OUTPUT...

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