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CPS2108 Azza Hassan
The R-Squared statistic indicates that the model as fitted 95.9305% of the
Urbanization level. The adjusted R-Squared statistic, which is more suitable for
comparing models with different numbers of independent variables is
89.8262%. The standard error of the estimate shows the standard deviation of
the residuals to be 0.295344. The mean absolute error (MAE) of 0.151404 is
the average value of the residuals.
The R-Squared statistic indicates that the model as fitted 95.9305% of the
Urbanization level. The adjusted R-Squared statistic, which is more suitable for
comparing models with different numbers of independent variables, is
89.8262%. The standard error of the estimate shows the standard deviation of
the residuals to be 0.295344. The mean absolute error (MAE) of 0.151404 is
the average value of the residuals.
The R-Squared statistic indicates that the model as fitted 95.9305% of the
Urbanization level. The adjusted R-Squared statistic, which is more suitable for
comparing models with different numbers of independent variables is
89.8262%. The standard error of the estimate shows the standard deviation of
the residuals to be be 0.295344. The mean absolute error (MAE) of 0.151404
is the average value of the residuals.
4. Discussion and Conclusion
The signs on most of the significant variables were positive, meaning that they
increased in proportion to the dependent variable. The results were generally
consistent across the dependent variables, though there were some notable
differences. Finally, the urban population was the only measure have no
significant association with Pollution; Internet.
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