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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 …
Adrian Keister's user avatar
3 votes
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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*} …
Adrian Keister's user avatar