2.9. Based on price statistics of 26 properties sold (Y USD/m² ) linear correlation coefficients were calculated with potential explanatory variables X,,X3,X3,X4. Vector Ro 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.

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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.
Transcribed Image 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.
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