Economy, asked by 9090silu, 4 months ago

Derive the error variance of a WLS
regression model

Answers

Answered by Anonymous

6

Explanation:

This variance represents what the regression line cannot predict. It's equal to the sum of squared deviations of data points around predicted points, divided by N minus two. N is the number of data points in the scatterplot. Regression variance is based on differences between predicted data points and the mean of Y.

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