lect3_example_1 - SUMMARY OUTPUT X Variable 1 Residual Plot...

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SUMMARY OUTPUT Regression Statistics Multiple R 0.9939 R Square 0.9879 Adjusted R Sq0.9839 Standard Error0.7071 Observations 5 ANOVA df SS MS F ignificance F Regression 1 122.5 122.5 245 0.000567 Residual 3 1.5 0.5 Total 4 124 Coefficients tandard Err t Stat P-value Lower 95%Upper 95%ower 95.0%pper 95.0% Intercept 1 0.547723 1.825742 0.16537 -0.7431 2.743098 -0.7431 2.743098 X Variable 1 1.75 0.111803 15.65248 0.000567 1.394192 2.105808 1.394192 2.105808 RESIDUAL OUTPUT PROBABILITY OUTPUT Observation Predicted YResidualsndard Residuals Percentile Y 1 4.5 -0.5 -0.8165 10 3 2 6.25 0.75 1.224745 30 4 3 2.75 0.25 0.408248 50 7 4 9.75 -0.75 -1.22474 70 9 5 16.75 0.25 0.408248 90 17 0 1 2 3 4 5 6 7 8 9 10 -1 -0.5 0 0.5 1 X Variable 1 Residual Plot X Variable 1 Residuals 2 3 1 5 9 0 2 4 6 8 10 12 14 16 18 X Variable 1 Line Fit Plot Column C Column B X Variable 1 Y 10 30 50 70 90 0 5 10 15 20 Normal Probability Plot Column G Sample Percentile Y
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SUMMARY OUTPUT Regression Statistics Multiple R 0.99449 R Square 0.989011 Adjusted R 0.983516 Standard E 0.755929 Observatio 4 ANOVA df SS MS F ignificance F Regression 1 102.8571 102.8571 180 0.00551 Residual 2 1.142857 0.571429 Total 3 104 Coefficients tandard Err t Stat P-value Lower 95%Upper 95% Lower 95.0% Upper 95.0% Intercept 1.285714 0.688091 1.868523 0.202634 -1.674903 4.246331 -1.674903 4.246331 2 1.714286 0.127775 13.41641 0.00551 1.164513 2.264059 1.164513 2.264059
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lect3_example_1 - SUMMARY OUTPUT X Variable 1 Residual Plot...

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