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Regression Statistics Multiple R 0.36 R Square 0.13 Adjusted R Square 0.12 Standard Error 0.89 Observations 2000.00 our Residual value is 0 but the R
Regression Statistics | |
Multiple R | 0.36 |
R Square | 0.13 |
Adjusted R Square | 0.12 |
Standard Error | 0.89 |
Observations | 2000.00 |
our Residual value is 0 but the R Square value is 0.11. so my question is that how we can defend the R square value and what should we have to write it? Is there any impact of a lot of outliers on the data R square?
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