SmartPhoneSales.xlsx - SUMMARY OUTPUT Regression Statistics Multiple R 0.988066 R Square 0.976274 Adjusted R 0.967647 Standard E 0.216664 Observatio 16

SmartPhoneSales.xlsx - SUMMARY OUTPUT Regression Statistics...

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SUMMARY OUTPUT Regression Statistics Multiple R 0.988066 R Square 0.976274 Adjusted R 0.967647 Standard E 0.216664 Observatio 16 ANOVA df SS MS F ignificance F Regression 4 21.248 5.312 113.1581 7.38E-09 Residual 11 0.516375 0.046943 Total 15 21.76438 Coefficients andard Err t Stat P-value Lower 95%Upper 95% Lower 95.0% Upper 95.0% Intercept 6.06875 0.162498 37.34666 6.12E-13 5.711095 6.426405 5.711095 6.426405 t 0.145625 0.012112 12.02333 1.14E-07 0.118967 0.172283 0.118967 0.172283 q1 -1.363125 0.157454 -8.657272 3.06E-06 -1.70968 -1.01657 -1.70968 -1.01657 q2 -2.03375 0.155108 -13.11186 4.66E-08 -2.37514 -1.69236 -2.37514 -1.69236 q3 -0.304375 0.153682 -1.980545 0.073201 -0.642628 0.033878 -0.642628 0.033878 RESIDUAL OUTPUT PROBABILITY OUTPUT Observation cted Sales (1 Residuals ndard Residuals Percentile ales (1000s) 1 4.85125 -0.05125 -0.276221 3.125 4.1 2 4.32625 -0.22625 -1.219415 9.375 4.8 3 6.20125 -0.20125 -1.084673 15.625 5.2 4 6.65125 -0.15125 -0.815189 21.875 5.6 5 5.43375 0.36625 1.973971 28.125 5.8 6 4.90875 0.29125 1.569744 34.375 5.9 7 6.78375 0.01625 0.087582 40.625 6 8 7.23375 0.16625 0.896034 46.875 6 9 6.01625 -0.01625 -0.087582 53.125 6.3 10 5.49125 0.10875 0.586128 59.375 6.5 11 7.36625 0.13375 0.72087 65.625 6.8 12 7.81625 -0.01625 -0.087582 71.875 7.4 13 6.59875 -0.29875 -1.610167 78.125 7.5 14 6.07375 -0.17375 -0.936457 84.375 7.8 15 7.94875 0.05125 0.276221 90.625 8 16 8.39875 0.00125 0.006737 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 0.2 0.4 0.6 0.8 1 -0.4 -0.2 0 0.2 0.4 0.6 q3 Residual Plot q3 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 (1 Predicte 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 P q1 Sales (1000s) 0 0.2 0.4 0.6
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