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Dear Raveendra,
In my opinion you should use adjusted R square. Unlike R square, adjusted R square allows for the degress of freedom associated with the sums of the squares. Therefore, even though the residual sum of squares decreases or remains the same as new explanatory variables are added, the residual variance does not. For this reason, adjusted R square is generally considered to be a more accurate goodness-of-fit measure than R square.
Generally less than 0.75 means bad correlation, therefore data may not be reliable.
Regards,
Atish
In my opinion you should use adjusted R square. Unlike R square, adjusted R square allows for the degress of freedom associated with the sums of the squares. Therefore, even though the residual sum of squares decreases or remains the same as new explanatory variables are added, the residual variance does not. For this reason, adjusted R square is generally considered to be a more accurate goodness-of-fit measure than R square.
Generally less than 0.75 means bad correlation, therefore data may not be reliable.
Regards,
Atish
Complete thread:
- R square value graveendranath 2009-04-23 06:04 [PK / PD]
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- R square value SDavis 2009-04-23 10:25
- R square valueatish_azad 2009-04-23 13:05
- R2-adj, cut-off Helmut 2009-04-23 14:39
Ing. Helmut Schütz