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A situation where the effect of an explanatory variable may depend on the value of another explanatory variable.
0
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0
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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 …
-1
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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 …
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 …
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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 $b_4 * othervar$)