2.9. Based on price statistics of 26 properties sold (Y USD/m? ) linear correlation coefficients were calculated with potential explanatory variables X,,X2,X3, X4 . Vector R, and matrix R are listed...


2.9.<br>Based on price statistics of 26 properties sold (Y<br>USD/m? ) linear correlation coefficients were<br>calculated with potential explanatory variables X,,X2,X3, X4 . Vector R, and matrix R are listed<br>below<br>0,3<br>0,6<br>0,5 1<br>Ro=<br>R =<br>-0,7<br>0,6 0,6 1<br>0,4<br>0,8 0,8 0,7 1]<br>The critical value of the linear correlation coefficient was assumed to be r* =0, 55. Perform the<br>selection of explanatory variables for the model using the correlation coefficient analysis method.<br>

Extracted text: 2.9. Based on price statistics of 26 properties sold (Y USD/m? ) linear correlation coefficients were calculated with potential explanatory variables X,,X2,X3, X4 . Vector R, and matrix R are listed below 0,3 0,6 0,5 1 Ro= R = -0,7 0,6 0,6 1 0,4 0,8 0,8 0,7 1] The critical value of the linear correlation coefficient was assumed to be r* =0, 55. Perform the selection of explanatory variables for the model using the correlation coefficient analysis method.

Jun 09, 2022
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