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A situation where the effect of an explanatory variable may depend on the value of another explanatory variable.

0 votes
0 answers
93 views

Interaction term when involved variables are colinear

My question is, if I add an interaction term, what would I be achieving exactly? …
1 vote

Comparing proportions of two samples in time

I think building a GLM (generalized linaer model?) is overcomplicating things. I am not sure about how many external features you would (if you have any) include to the model. So, the straight-forwar …
David's user avatar
  • 2,665
-1 votes

How to denote a simple slope coefficient (interaction)?

I don't know what sslope is but it reminds me of linear regression, where we build a model $Y=\beta_0 + \beta_1 x + \epsilon$ where: $\beta_0$ is a constant. $\beta_1$ represents the slope of the li …
David's user avatar
  • 2,665
2 votes

Argument on Interactions in The Book of Why

If you want to model an interaction using a particular case of the General Linear Model (do not mistake this for a Generalized Linear Model), you have to introduce an artificial extra variable like the …
Glen_b's user avatar
  • 291k
0 votes

interpreting coefficients of interaction terms between categorical variables

You are absolutelly right, it is exactly as you posted it (assuming other_var is equal to 0, otherwise you will have to add $b_4 * othervar$)
David's user avatar
  • 2,665