Why is the assumption of a normally distributed residual relevant to a linear regression model?
26980
How does linear regression use the normal distribution?
40108
standardising non normally distributed predictors for regression
153314
Multiple Regression, Normal distribution and Normalization
58017
When is it necessary to estimate the covariance matrix instead of calculating it directly?
146008
Why do we usually choose to minimize the sum of square errors (SSE) when fitting a model?
56500
Diagonal straight lines in residuals vs fitted values plot for multiple regression
115297
How should I interpret this residual plot?
126601
Does simple linear regression imply causation?
33034
Why squared residuals instead of absolute residuals in OLS estimation?
11880
When is it ok to remove the intercept in a linear regression model?
69828
How do I use the standard regression assumptions to prove that $\hat{\sigma}^2$ is an unbiased estimator of $\sigma^2$?
10730
Proof that regression residual error is an unbiased estimate of error variance
131097
Checking residuals for normality in generalised linear models
29645
Regression when the OLS residuals are not normally distributed
9356
Derivation of the formula for Ordinary Least Squares Linear Regression
83903
Why transforming normals with the transpose of the inverse of the modelview matrix?
30082
Using regression to prove that X is a necessary / condition condition for Y