Tutorial 12 Solution

Tutorial 12 Solution - 1.618864937 2.329357661 0.021270588...

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1 AB103: Statistical and Quantitative Methods Tutorial 12: Solutions Q1 10.66
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2
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3 Q2 10.80
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4 Q3
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5 Q4: 11.7
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6 Q5. Q6. 11.16 SUMMARY OUTPUT Regression Statistics Multiple R 0.197149936 R Square 0.038868097 Adjusted R Square 0.018272414 Standard Error 97.47563451 Observations 144 ANOVA df SS MS F Significance F Regression 3 53793.58245 17931.19415 1.887196277 0.134522621 Residual 140 1330209.905 9501.499324 Total 143 1384003.488
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7 Coefficients Standard Error t Stat P-value Lower 95% Intercept -108.0676955 62.70035758 -1.723557882 0.086995307 -232.0296688 MILE 0.085086799 0.082212774 1.034958371 0.302472765 -0.07745227 LENGTH 3.770915444
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Unformatted text preview: 1.618864937 2.329357661 0.021270588 0.570332547 WEIGHT -0.049414672 0.029261995 -1.68869798 0.093503459 -0.107267207 8 Q7. Q8. 9 10 Q9. 11. 87 a. There are 5 β parameters in the complete model, and 3 β parameters in the reduced b. Ho: β 3 = β 4 = 0 Ha: at least one of β 3 and β 4 is nonzero. c. SSE R – SSE C = 160.44 – 152.66 = 7.78 k = 4, g = 2, n = 20 )) 1 ( /( ) /( ) ( + − − − = k n SSE g k SSE SSE F C C R = 0.38222 df : 2, 15 F C = 3.68 Decision: do not reject Ho, the terms on x 3 and x 4 do not contribute significant information for the prediction of y than the reduced model. Q10. 11 12...
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This note was uploaded on 03/21/2010 for the course BIZ ab103 taught by Professor Woo during the Spring '10 term at Nanzan.

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Tutorial 12 Solution - 1.618864937 2.329357661 0.021270588...

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