11
votes
Accepted
Assumptions of Linear Regression (homoscedasticity and normality of residuals)
The questions themselves are interesting and nontrivial enough that I believe you may have some basic knowledge about assumption testing already, so I'm not telling you what to do in particular (for ...
- 26.9k
2
votes
Accepted
If the errors are homogenous but non-normal, can the linear estimator be BLUE?
Let $\mathcal U(\boldsymbol\beta):=\{\mathbf{Ay}+\mathbf a\mid \mathbf{AX}=\mathbf I_p, ~\mathbf a=\mathbf 0\}$ be the class of linear unbiased estimators of $\boldsymbol\beta.$
Under the assumptions ...
- 9,642
1
vote
Why is my Data Non-Normal?
You have a resolution issue. Your values are at fixed increments of 0.025. Even though your physical property is continuous, your measurements are not. With this resolution, you effectively have an ...
- 351
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