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statistics - How to derive $SE(\hat{\beta_0}+\hat{\beta_1}x_0)=\hat{\sigma}\bigg[\frac{1}{n}+\frac{(x_0-\bar{x})^2}{(n-1)s^2_x}\bigg]^\frac{1}{2}$ - Mathematics Stack Exchange
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Biomolecules | Free Full-Text | Bacterial Sigma Factors and Anti-Sigma Factors: Structure, Function and Distribution
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Why is $X\hat{\beta}$ regarded as $y$ in multiple linear regression while estimating sigma square? - Cross Validated
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