Shown below is output from two Excel regression analyses on the same problem. The first output was
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Explain what happened, what the results mean, and what might happen in a thirdstep.
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FULL MODEL Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.567 0.321 0.208 159.681 29 ANOVA Significance MS 72464.02 25498.13 df Regression Residual Total 289856.08 611955.23 901811.31 2.84 0.046 28 Coefficients Standard Error t Stat P.value 2.71 0.93 13.4700 -0.42 0.16 2.80 0.012 0.363 0.680 0.878 0.010 Intercept 336.79 1.65 -5.63 0.26 185.50 124.0800 1.7800 1.6800 66.2200 SECOND MODEL Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.566 0.321 0.239 156.534 29 ANOVA Significance MS 96412.70 24502.90 df Regression Residual Total 289238.1 612573.20 901811.3 3.93 0.020 25 28 Coefficients Standard Error t Stat P-value 0.006 0.174 0.667 0.005 11.34 1.31 Intercept 342.92 1.83 -5.75 181.22 2.97 1.40 13.18 -0.44 3.07 59.05
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The R 2 for the full model is 321 After dropping out variable x 3 the R 2 i...View the full answer
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Related Book For
Business Statistics for Contemporary Decision Making
ISBN: 978-0470910184
6th Edition
Authors: Ken Black
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