ComboSales-regr_demo - Regression Analysis for ComboSales...

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Confidence Interval Estimate Regression Statistics Data Multiple R 0.622 X Value 560 R Square 0.387 Confidence Level 0.95 Adjusted R Square 0.379 Intermediate Calculations Standard Error 6.324 Sample Size 80 Observations 80 Degrees of Freedom 78 t Value 1.991 ANOVA XBar, Sample Mean of X 550 df SS MS F Significance F Sum Squared Diff from XBar 40000 Regression 1 1966.9 1966.9 49.2 0.0000 Standard Error of the Estimate 6.324 Residual 78 3119.1 40.0 h Statistic 0.02 Total 79 5086.0 Predicted Y (YHat) 65.7 Coefficients Std Err t Stat P-value Lower 95% Upper 95% For Average Y Intercept 189.85 17.40 10.91 0.00 155.20 224.50 Interval Half Width 1.54 Price -0.22 0.03 -7.01 0.00 -0.28 -0.16 Confidence Interval Lower Limit 64.13 Confidence Interval Upper Limit 67.21 For Individual Response Y Interval Half Width 12.68 Prediction Interval Lower Limit 52.99 Prediction Interval Upper Limit 78.35 Regression Analysis for ComboSales vs. Price Regression Analysis for ComboSales vs. TV. Ads 510 520 530 540 550 560 570 580 590 0 20 40 60 80 100 f(x) = -0.22x + 189.85 R² = 0.39 ComboSales vs. Price Price ComboSales
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Regression Statistics Multiple R 0.029 R Square 0.001 Adjusted R Square -0.012 Standard Error 8.072 Observations 80 ANOVA df SS MS F Significance F Regression 1 4.2 4.2 0.06 0.80 Residual 78 5081.8 65.2 Total 79 5086.0 Coefficients andard Err t Stat P-value Lower 95% Upper 95% Intercept 67.4 2.12 31.85 0.00 63.19 71.61 TV-Ads 0.16 0.64 0.25 0.80 -1.11 1.43 Confidence Interval Estimate Regression Analysis for ComboSales vs. Display (binary) 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 0 20 40 60 80 100 f(x) = 0.16x + 67.4 R² = 0 ComboSales vs. TV Ads TV. Ads ComboSales
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