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I'm trying to check for the average sex rate in a relationship, grouped by how poly they are, controlling for age. Using chatgpt, I have this code. It's giving me a reasonable-looking result, and I think I did it right, but I'd like some human eyeballs to verify this is not dum

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Statistician here - looks right to me. You could try allow poly and selfage to interact in the model - using "sexrate ~ poly * selfage" will get you that.

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Now that I think about it, it depends on the distribution of sexrate - you may need a GLM instead of OLS. If you DM me more details I'm happy to take a look.

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What is GLM vs OLS? What kind of distributions of sexrate would make using GLM more sensible?

9:44 PM · Jan 11, 2023

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A generalized linear model is a superset of OLS regression - OLS regression has assumptions that your y is normally distributed. With a rate variable you are bounded at the lower end by 0, these types of variables can be highly nonnormal and OLS may perform poorly.

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