The multiple regression model for monthly credit card balances and the age of the head of household,
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SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.604771472 0.365748533 0.304369359 435.3412786 35 ANOVA MS 3 3387992.99 1129330.997 5.958837626 df Regression Residual Total 31 5875182.895 189522.0289 34 9263175.886 P-value Coefficients Standard Error Stat 38.35751156 539.3083936 0.07112352 0.94375632 Intercept Age of Head of Household Income (000) Value of Home (000 0.375387927 3.933953149 0.095422572 0.924593365 0.992027023 11.58540256 0.085627324 0.932313329 22.03697173 8.899239591 2.47627581 0.018939953
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The model can be interpreted as follows Monthly Credit Card Ba...View the full answer
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Related Book For
Analyzing Data And Making Decisions Statistics For Business Microsoft Excel 2010 Updated
ISBN: 9780132924962
2nd Edition
Authors: Judith Skuce
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