This can be written in LaTeX as:
\[ e_i \sim N(0, \sigma^2) \]
where \(e_i\) is the residual for the \(i\)th observation, \(N\) denotes a normal distribution, 0 is the mean of the distribution, and \(\sigma^2\) is the variance.
Step 2: Homoscedasticity
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