Beta regression is useful when the dependent variable is bounded, or when it has a ceiling or floor effect. It can also be used for modeling both the mean and the variance.
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How to interpret inconsistent Beta values in different steps of hierarchical regression analysis?
I did hierarchical regression analysis on my data due to having moderation effects in my research model.
R2 increased from .695 in model1 (main effect only) to .734 in model2 (main &interaction ...
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Regression for an outcome (ratio) between 0 and 1
I am thinking of building a model predicting a ratio a/b, where a <= b, a > 0, b > 0. So, the ratio would be between 0 and 1. For independent variables, I have a continuous one and several 0/1 ...
