Linked Questions

43
votes
3answers
24k views

Regression for an outcome (ratio or fraction) between 0 and 1

I am thinking of building a model predicting a ratio $a/b$, where $a \le b$ and $a > 0$ and $b > 0$. So, the ratio would be between $0$ and $1$. I could use linear regression, although it doesn'...
31
votes
2answers
35k views

What is quasi-binomial distribution (in the context of GLM)?

I'm hoping someone can provide an intuitive overview of what quasibinomial distribution is and what it does. I'm particularly interested in these points: How quasibinomial differs to the binomial ...
15
votes
1answer
7k views

How to fit a mixed model with response variable between 0 and 1?

I am trying to use lme4::glmer() to fit a binomial generalized mixed model (GLMM) with dependent variable that is not binary, but a continuous variable between zero ...
7
votes
3answers
2k views

GLM with logit link and Gaussian family to predict a continuous DV between 0 and 1

Can you run a GLM using a logit link with a continuous DV (between 0 and 1)? Generally it's suggested to use a binomial family with a logit link, but I'm guessing that is because the model assumes a ...
8
votes
2answers
684 views

Is it technically “valid” to fit a logistic regression with a dependent variable that is a proportion?

Several posts (here and here) suggest that beta regression is more appropriate when the dependent variable is naturally bounded between 0 and 1. My question is, leaving appropriateness aside, is it ...
7
votes
1answer
4k views

Regression with percentage response variable (ratio of two counts but the counts themselves are not available) in R

I have a dataset where I'm trying to predict a student's percentage score on a school exam from some other collected IVs. I'm wondering how to correctly run this analysis in ...
4
votes
1answer
2k views

Regression when the dependent variable is between 0 and 1

I am using the scikit-learn library to perform regression. However in my case I need the dependent variable to be constrained in the range 0 to 1. The dependent variable represents count proportions ...
2
votes
1answer
4k views

How to model percentage dependent variable using logistic regression in spss

I have some aggregated data. Indep. Dep. N 1.3 78% 23 1.2 67% 20 Indep var the average score of people in a particular region. Dep. var ...
3
votes
2answers
791 views

Sum up uncertainty from confidence intervals in R

I'm fitting a linear regression model in R: ...
2
votes
0answers
246 views

Logistic regression to predict the fraction of small fish among all fish

My question is regarding to which logistic regression test fits my goal best. My data set contains 641 rows of which each row is one sample with several independent variables (continuous, nominal and ...
0
votes
2answers
133 views

Training a (binary) classifier

Let's say I want to train a classifier using supervised learning. I asked a group of human evaluators to decide whether my training samples are positive or negative. During training, should I i) use ...
2
votes
1answer
128 views

What is the appropriate glm to estimate data from a numerical rating scale?

I'd like to predict a variable that is bound between 0 and 1, these are patients' responses on a visual analog scale. When I use a simple linear model, some predictions are out of the bounds of the ...
0
votes
1answer
66 views

Assumption multiple regression: normality of residuals

I want to run a multiple regression analysis for a given dataset in SPSS. However, the dataset violates the assumption of normality of residuals, as depicted in the picture. The values for the ...
1
vote
0answers
30 views

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 ...
0
votes
0answers
22 views

Appropriate regression to predict >2 fractions?

Let's say I have demographic data on various classes and the proportion of students in the class who are black, white, etc. I'm trying to create a regression to determine features of the class that ...