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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Dealing with regression of unusually bounded response variable
I am attempting to model a response variable that is theoretically bounded between -225 and +225. The variable is the total score that subjects got when playing a game. Although theoretically it is ...
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319 views
Beta regression of proportion data including 1 and 0
I am trying to produce a model for which I have a response variable which is a proportion between 0 and 1, this includes quite a few 0s and 1s but also many values in between. I am thinking about ...
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How to interpret an insignificant main effect that became significant at the presence of interaction effects in moderated regression analysis? [duplicate]
Possible Duplicate:
What if interaction wipes out my direct effects in regression?
I did hierarchical regression analysis on my data due to having interaction effects in my research model. ...
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740 views
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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1answer
128 views
What's a time series model for forecasting a percentage bound by (0,1)?
This must come up---the forecasting of things that are stuck between 0 and 1.
In my series, I suspect an auto-regression component, and also a mean-reverting component, so I want something that I can ...
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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 ...
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Beta Regression with Zelig
Is it possible to use zelig for beta regression (as in the betareg package in R)? I could not find any documentation so I'm ...
