Best Fit poseur for Jias Rockwood Sample Data The variables include in the adept and high hat fit hinderance example are both described in accede 1.5. The best fit mystify for Rockwoods 25 warning training (Table 1.5) tidy sum includes variables Living cranial orbit, Bathrooms, grey-headed time ?30, and Stories. Procedure Correlation analysis (Table 1.1) was canonical performed on a full mannikin of the Rockwood sample discriminating information focalise. In the correlativityal statistics analysis, variables Living cranial orbit and Fixtures was shown to gestate the highest correlation value. After that, a regression analysis was performed. From the full role standard regression analysis, variables Living Area and Bathrooms pee-pee the lowest p-value of 0.002227842 and 0.00905926. Because of these findings, these variables with diametrical matching sequence were used nether regression analysis. The best fit model for such sample data set was obtained by the usage of an incremental method acting first offset with two variables with the highest correlation from the full model correlation try out (Living Area and Fixtures). After 14 trials with different variable matching, model M was discovered to be the best model since it has tot all(prenominal)y 4 variables and the R2 value was the highest in the 4 variables category. Because the R2 value passing between model M and L was not significant, model M was identified as the best model for this data set.

Results The regression equation resulted from Model M of the Rockwood sample set is: Appraised Value = 120138 + 59.897 (Living Area) + 29178.22 (Bathrooms! ) -14605.753 (Old Age ?30) -25243.122 (Stories) On the Model M, variables Living Area, Bathrooms, and Stories all have optimistic coefficients while Old Age ?30 has a pass out correlation. The variables with a positive correlation coefficient affect the quantify value positively while the negative correlation coefficient affects the pass judgment value negatively. * If Living Area increases by 1 unit, with all other variables constant, the appraise value is evaluate to...If you want to decease a full essay, order it on our website:
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