6 00 20 40 60 80 100 q2 Lin q2 Sales 20 40 60 80 100 Sales 1000s 1

6 00 20 40 60 80 100 q2 lin q2 sales 20 40 60 80 100

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0.6 0 0.0 2.0 4.0 6.0 8.0 10.0 q2 Lin q2 Sales (1000s) 0 0.2 0.0 2.0 4.0 6.0 8.0 10.0 Sales (1000s) 1 Sales (1000s)
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1.2 1000s) ed Sales (1000s) 2 Plot Sales (1000s) Predicted Sales (1000s) 0.8 1 1.2 ne Fit Plot Sales (1000s) Predicted Sales (1000s) 0.4 0.6 0.8 1 1.2 q3 Line Fit Plot Sales (1000s) Predicted Sales (1000s) q3 0 20 40 60 80 100 120 0 2 4 6 8 10 Normal Probability Plot Sample Percentile
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SUMMARY OUTPUT Regression Statistics Multiple R 0.983775 R Square 0.967814 Adjusted R 0.959767 Standard E 0.241611 Observatio 16 ANOVA df SS MS F ignificance F Regression 3 21.06386 7.021288 120.2769 3.22E-09 Residual 12 0.700512 0.058376 Total 15 21.76438 Coefficients andard Err t Stat P-value Lower 95%Upper 95% Lower 95.0% Upper 95.0% Intercept 5.898602 0.153814 38.34904 6.36E-14 5.563472 6.233733 5.563472 6.233733 t 0.147516 0.013464 10.95591 1.32E-07 0.118179 0.176852 0.118179 0.176852 q1 -1.206211 0.151737 -7.949359 4.01E-06 -1.536817 -0.875605 -1.536817 -0.875605 q2 -1.878727 0.149328 -12.58119 2.85E-08 -2.204085 -1.553368 -2.204085 -1.553368 y=5.89+t*0.147-q1*1.206-q2*1.878 RESIDUAL OUTPUT PROBABILITY OUTPUT Observation cted Sales (1 Residuals ndard Residuals Percentile ales (1000s) 1 4.839907 -0.039907 -0.184665 3.125 4.1 2 4.314907 -0.214907 -0.994461 9.375 4.8 3 6.341149 -0.341149 -1.578636 15.625 5.2 4 6.488665 0.011335 0.052454 21.875 5.6 5 5.429969 0.370031 1.712284 28.125 5.8 6 4.904969 0.295031 1.365229 34.375 5.9 7 6.931211 -0.131211 -0.607168 40.625 6 8 7.078727 0.321273 1.486662 46.875 6 9 6.020031 -0.020031 -0.092692 53.125 6.3 10 5.495031 0.104969 0.485734 59.375 6.5 11 7.521273 -0.021273 -0.09844 65.625 6.8 12 7.668789 0.131211 0.607168 71.875 7.4 13 6.610093 -0.310093 -1.434927 78.125 7.5 14 6.085093 -0.185093 -0.856501 84.375 7.8 15 8.111335 -0.111335 -0.515194 90.625 8 16 8.258851 0.141149 0.653154 96.875 8.4
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% 0 2 4 6 8 10 12 14 16 18 -0.4 -0.2 0 0.2 0.4 0.6 t Residual Plot t Residuals 0 0.2 0.4 0.6 0.8 1 1.2 -0.4 -0.2 0 0.2 0.4 0.6 q1 Residual Plot q1 Residuals 0 0.2 0.4 0.6 0.8 1 1.2 -0.4 -0.2 0 0.2 0.4 0.6 q2 Residual Plot q2 Residuals 0 2 4 6 8 10 12 14 16 18 0.0 2.0 4.0 6.0 8.0 10.0 t Line Fit Plot Sales (1000s) Predicted Sales (1000 t Sales (1000s) 0 0.2 0.4 0.6 0.8 1 1.2 0.0 2.0 4.0 6.0 8.0 10.0 q1 Line Fit Plot Sales (1 Predicte q1 Sales (1000s) 0 0.2 0.4 0.6 0.8 1 1.2 0.0 2.0 4.0 6.0 8.0 10.0 q2 Line Fit P q2
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