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The parameters of a regression model. Most commonly, the values by which the independent variables will be multiplied to get the predicted value of the dependent variable.
3
votes
Simple Question About Control Variables
This is a question best answered with the new revolution in causality. The short answer is that correlation is not sufficient to justify conditioning (i.e., including in your regression). Indeed, some …
3
votes
Accepted
ISLR - Ridge Regression - Demonstrate equal coefficients with correlated predictors? (final ...
I agree with your simplification:
\begin{align*}
\beta_1&=C+K\beta_2\\
\beta_2&=C+K\beta_1\\ \\
\beta_1&=C+K(C+K\beta_1)\\
\beta_1\big(1-K^2\big)&=C(1+K)\\
\beta_1&=\frac{C(1+K)}{1-K^2}.
\end{align*}
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