5 авг. 2015 г. · No. They can have all sorts of distributions. Also, as the name implies they're dependent on something else, the input (independent) variables.

1 сент. 2015 г. · It is not required for variables themselves to be normally distributed for ANY statistical model. I'm assuming that, by “variables”, you mean ...

12 мар. 2016 г. · It is not required for variables themselves to be normally distributed for ANY statistical model.

20 окт. 2018 г. · They need to be continuous random variables with finite variances and covariances. They do not need to be normally distributed.

7 апр. 2016 г. · A linear regression requires residuals to be normally distributed. Why do we need this assumption? What will happen if this assumption does not satisfy?

21 дек. 2018 г. · A linear regression requires residuals to be normally distributed. Why do we need this assumption? What will happen if this assumption does not ...

24 июл. 2016 г. · No. The only quantity assumed to have a Normal distribution in ordinary least squares is the error term of the dependent variable. Moreover it's ...

10 февр. 2022 г. · No. The only quantity assumed to have a Normal distribution in ordinary least squares is the error term of the dependent variable. Moreover it's ...

9 апр. 2019 г. · You don't need the data to be normally distributed, as long as the variance is homogeneous. In case the test for Normality fails ANOVA is robust ...

20 мар. 2019 г. · There is no fixed rule for the distribution of residuals. Errors don't need to be normally distributed. This is a big misconception among people ...