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Module 6 B.2 Standard Error

# Module 6 B.2 Standard Error - Regression Analysis ANOVA...

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Regression ANOVA tab Source Regression Residual Total Regression variables Intercept Temp Predicted va Temp 44 Regression x Find x To find the x Y^ = b 0 + b 1 b 0 b 1 Y^ = b 0 + b 1

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Analysis r² 0.836 n 10 r -0.915 k 1 Dependent natural gas Std. Error 0.766 Dep. Var. FuelCons Independent temperature IS -0.1173 ble SS df MS F p-value 24.0074 1 24.0074 40.89 .0002 4.6966 8 0.5871 28.7040 9 output confidence interval coefficients std. error t (df=8) p-value 95% lower 95% upper 15.2569 0.7913 19.282 5.43E-08 13.4323 17.0816 -0.1173 0.0183 -6.395 .0002 -0.1595 -0.0750 alues for: FuelCons 95% Confidence Interval 95% Prediction Interval Predicted lower upper lower upper Leverage 10.0976 9.5254 10.6698 8.2404 11.9548 0.105 n Equation: 15.2569 tells us how much the natural gas is estimeated to be consumed when the tempe -0.1173 For each additional temperature -0.1173 Expect an 0 should be substituted with the independent variable. 15.140 x x-intercept assumes x = 0 for each additional independ increase/decrease of the dep 1 x

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< OR > THAN 1? Decrease Increase or Decrease? erature = 0 Decrease of the natural gas 15.2569 dent variable we can expect an pendent variable.

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Regression Analysis r² 0.485 n 24 r 0.696 k 1 Std. Error 157.773

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Module 6 B.2 Standard Error - Regression Analysis ANOVA...

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