Questions tagged [regression]

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

18,362 questions
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How to interpret a negative coefficient in logistic regression?

This is the summary of a fitted model on Titanic dataset in r ...
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Is ordinal regression a classification or a ranking problem?

I’m confused, in wikipedia, ordinal regression is also referred as ordinal classification. Which makes sense since ordinal variables are in the end just categorical. On the other hand, ordinal ...
27 views

Model selection based on Adjusted R Squared (Backward) in R [closed]

model.all = lm(price ~ . - id , data = sample_n(hs, 500)) step(object = model.all, direction = "backward") The step function ...
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Combining regression models from separate data sets

What is the best way to combine regression betas from separate data sets? For example, a data set is split in two based on some fundamental characteristic, and the same two factor regression is run ...
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Is a linear regression analysis the right thing for cohort event correlation?

I have a table like this, except with hundreds of events and 10 user buckets. If I wanted to answer the question: what event is Cohort A statistically more likely to do as a proportion of the ...
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Exposure in Poisson regression

Could somebody explain the concept of exposure in the context of Poisson regression and how it relates to the expected value of a Poisson distributed response?
559 views

Why is linear regression results so much different from Poisson regression?

I ran both a linear regression and Poisson regression on count data (data ranges from 0-54) with two continuous predictors and the p values were very different between them. ...
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Data analysis: Investigating whether a policy is implemented or not

Consider a dataset consisting of student wait times for a large number of experts for two periods. Between the two periods,the school may have altered experts’ capacities based on observations of ...
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Controlling for variables in social sciences

I know this is a completely hypothetical scenario but I just want to understand how the effect of a variable could be held constant and how the coefficients of two independent variables are estimated ...
18 views

Stationarity in logistic regression

For a time series dataset, is it required for the independent variables to be stationary for logistic regression? If yes, how can we check for stationarity?
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