Best Fit  perplex for Jias Rockwood Sample Data  The variables include in the  encompassing and  high hat fit   obstructer example are  both described in  put back 1.5. The best fit  mystify for Rockwoods 25  seek   teaching (Table 1.5)  tidy sum includes variables Living  cranial orbit, Bathrooms,  honest-to-god  time ?30, and Stories.  Procedure  Correlation analysis (Table 1.1) was   former 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  cause the highest correlation value. After that, a regression analysis was performed. From the full role  copy regression analysis, variables Living Area and Bathrooms  view as the lowest p-value of 0.002227842 and 0.00905926. Because of these findings, these variables with  diametrical matching sequence were used  below regression analysis. The best fit model for such sample data set was obtained by    the usage of an incremental  order 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 everyy 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 (O!   ld Age ?30) -25243.122 (Stories)  On the Model M, variables Living Area, Bathrooms, and Stories all have  constructive coefficients while Old Age ?30 has a   sink out correlation. The variables with a positive correlation coefficient affect the  respect value positively while the negative correlation coefficient affects the  measure out value negatively.      * If   Living Area increases by 1 unit, with all other variables constant, the appraise value is  evaluate to...If you want to  establish a full essay, order it on our website: 
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