Greetings to all. I'm new in the forum and I don't have the best level of English, but I'll try to ask my question.
I'm making a regress to identify the drivers that affect the comments and likes in Facebook posts. I have data from some companies with a high number of followers and others with a low number. Of course, this implies that the like rate of companies with many followers is considerably higher. Could you recommend options to standardize or normalize the data? I would like to be able to compare both samples in the same model. I have thought about including the number of followers as an independent variable or as an interaction factor. But I'm not sure. I appreciate any recommendation.
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