Module_6_Exc._B Linear Regression

# Module_6_Exc._B Linear Regression - Regression Analysis r r...

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Regression Analysis r Std. Error ANOVA table Source SS Regression 515,867.0970 Residual 547,630.5280 Total 1,063,497.6250 Regression output variables coefficients Intercept 1,749.2272 BEVTOTAL 0.0326 Predicted values for: FOODTOT BEVTOTAL Predicted 26,000 2,597.418 Regression Equation: 1,749.227 0.033 x 0 1,749.260 Find x To find the x-intercept assumes x = 0 Find the smallest value in the BEVTotal colu Y^ = b 0 + b 1 x b 0 b 1 Y^ = b 0 + b 1 x

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0.485 n 24 0.696 k 1 157.773 Dep. Var. FOODTOT df MS F p-value 1 515,867.0970 20.72 .0002 22 24,892.2967 23 confidence interval std. error t (df=22) p-value 95% lower 95% upper 185.8265 9.413 3.59E-09 1,363.8465 2,134.6079 0.0072 4.552 .0002 0.0178 0.0475 95% Confidence Interval 95% Prediction Interval lower upper lower upper Leverage 2,530.278 2,664.558 2,263.400 2,931.437 0.042 should be substituted with the independent variable. x for each additional independent varia lumn within the data residuals chart 19051 BEVTOTAL FOODTOT redicted Residual 19051 2381 2,370.7 10.3 19235 2577 2,376.7 200.3 19624 2283 2,389.4 -106.4 20404 2674 2,414.9 259.1 20459 2589 2,416.7 172.3 20956 2410 2,432.9 -22.9 21447 2508 2,448.9 59.1 21498 2324 2,450.6 -126.6 22924 2341 2,497.1 -156.1 23483 2497
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Module_6_Exc._B Linear Regression - Regression Analysis r r...

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