Assumptions Check

Assumptions Check

- Trần Huỳnh Gia Hân HUF04 の投稿

image%20%281%29.png

image%20%282%29.png

image%20%283%29.png

The Collinearity Diagnostics indicate that multicollinearity is not a significant concern, as all Condition Indices are well below the threshold of 30, with the ...

詳細...

image%20%281%29.png

image%20%282%29.png

image%20%283%29.png

The Collinearity Diagnostics indicate that multicollinearity is not a significant concern, as all Condition Indices are well below the threshold of 30, with the highest being 12.756. Furthermore, the Scatterplot of standardized residuals against predicted values shows a random distribution of points, suggesting that the assumptions of homoscedasticity and linearity have been met. Finally, the Residuals Statistics confirm a well-behaved model, with a mean residual of $0.00 and a relatively balanced range of standardized residuals, though the maximum value of 4.014 suggests a few potential outliers may be present in the data.

Assumptions Check

- Vo Dao Trang Thy HUF04 の投稿
Dear Han, Your interpretation is clear, and I agree that multicollinearity does not seem to be a serious problem because the condition indices are not very high. The ...

詳細...

Dear Han, Your interpretation is clear, and I agree that multicollinearity does not seem to be a serious problem because the condition indices are not very high. The scatterplot also looks fairly random, so the assumptions of linearity and homoscedasticity seem reasonably met. One small point is that you mentioned possible outliers because of the higher residual value, so it might be helpful to check standardized residuals more closely or review extreme cases. Overall, your assumptions seem mostly satisfied.