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Unformatted text preview: Conclusion: Ex: Sales vs. Ad $ ( n = 5) 8 t .025 Reject Reject .025 95% Confidence Interval for β 1 : H : β = 0 vs. H 1 : β ≠ α = 0.05 df = Test Statistic: Conclusion: Ex: Sales vs. Ad $ ( n = 5) 9 t .025 Reject Reject .025 95% Confidence Interval for β : 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 RSq = 89.9% RSq(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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 '07
 Lv
 Statistics, Prediction interval, Salary vs

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