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### Logistic Regression -- Use of real values between 0 and 1[as opposed to two classes as negative:0 and positive:1] [duplicate]

I just wanted to confirm if this was correct :) For logistic regressions, do the outputs in the training set are actually no different than the outputs that we get as predictions? Is the only reason ...
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### Predicting values in a given range [0, 1] (not probability) [duplicate]

I need to predict the impact of a set of node failures in a network, based on 2 features: the fraction of failed nodes and a measure of their network centrality. Failure of less important nodes will ...
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### Which regression model to use for a probability as dependent variable? [duplicate]

My dependent variable is a probability. As such, values lie between 0 and 1. The most common values are 0, 0.5, and 1 each occurring in 20% to 30% of the observations but any value in between is ...
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### How to build a model with a continuous response variable bounded from 0 to 1? [duplicate]

How to build a regression model with a continuous response variable bounded from 0 to 1? I think it is not logistic regression, where I am not predicting a binary response variable, Right? Sorry ...
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1 vote
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### Method to predict outcome as percentage of two categories? [duplicate]

In real world example I have elemental composition data for groundwater, which is known to be coming from two sources. I have control data where all predictors are from source A and data where all ...
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### How small a quantity should be added to x to avoid taking the log of zero?

I have analysed my data as they are. Now I want to look at my analyses after taking the log of all variables. Many variables contain many zeros. Therefore I add a small quantity to avoid taking the ...
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### How to do logistic regression in R when outcome is fractional (a ratio of two counts)?

I'm reviewing a paper which has the following biological experiment. A device is used to expose cells to varying amounts of fluid shear stress. As greater shear stress is applied to the cells, more of ...
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### Why Beta/Dirichlet Regression are not considered Generalized Linear Models?

The premise is this quote from vignette of R package betareg1. Further-more, the model shares some properties (such as linear predictor, link function, ...
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### Percentage as dependent variable in multiple linear regression

Although I saw a few similar threads, I don't believe I saw the specific answer to the following question: For simple linear or multiple linear regression, if your dependent variable is a percentage, ...
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