# Questions tagged [regression]

Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

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### Treatment of main terms when adding interaction terms to linear regression

If I have a model that is Y~A+B, where only A is significant (low p-value). After adding an interaction term to form a new model Y~A+B+(AB), B remains not significant but the interaction term (AB) is ...
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### Nested Variables- Insiginficant estimate. Whats Next?

Note: for more background about nested variables please see: this link. I have 2 variables ( one nested in the other) and I am trying to model them in R. The variables are as the following: ...
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Reading about PCR I've found many people claiming that PCR is not so good since it doesn't allow you to evaluate the final loading over each base factors. I can't really understand where this problem ...
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### Linear regression with empty cells for variable

The follow graph has been obtained using a repeated measures general linear model. As can be seen from the table, there are a fair number of empty cells for the variable educational level. ...
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### What to do/tests to run when population size is unknown [closed]

Shall I stick to descriptive statistics? Everything I know about making inferences about a population seems pretty redundant. Feel free to roast me I'm working with some non-experimental cross-...
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### Statistical illusion? What's statistically happening, when regression analysis results get significant only with all predictors and interaction term?

I got a research question, where the hypothesis (derived from theory) postulates, that the relationship between predictor X and outcome Y is moderated by W (X+W+X*W -> Y). All variables are sums of ...