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**Unformatted text preview: **Conclusion: Ex: Sales vs. Ad $ ( n = 5) 8 t .025 Reject Reject .025 95% Confidence Interval for 1 : H : = 0 vs. H 1 : = 0.05 df = Test Statistic: Conclusion: Ex: Sales vs. Ad $ ( n = 5) 9 t .025 Reject Reject .025 95% Confidence Interval for : More Practice Regression Analysis: FuelCons versus Temp The regression equation is FuelCons = 15.8 - 0.128 Temp Predictor Coef SE Coef T P Ex: Fuel Consumption Case ( n = 8). Predicted FuelCons when Temp = 40. 10 Constant 15.8379 0.8018 19.75 0.000 Temp -0.12792 0.01746 -7.33 0.000 S = 0.654209 R-Sq = 89.9% R-Sq(adj) = 88.3% Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 1 10.721 0.241 More Practice Ex: Fuel Consumption Case ( n = 8). Do the following for Temp = 40: Fitted FuelCons = 95% CI for mean FuelCons when Temp = 40: 11 Predicted FuelCons = 95% PI for FuelCons when Temp = 40:...

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