# Questions tagged [regression]

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

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### Estimating various outputs using PCA from various features

I have a situation where I am trying to come up with a function to predict different max altitude (in meters) of 5 seconds of various balls thrown by various players with different features such as ...
4 views

### Verifying consistency of HAC SEs with a Monte Carlo Experiment

I'm trying to demonstrate the consistency of the default HAC standard errors given in R's sandwhich package via a Monte Carlo experiment. I'm using a linear model ...
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### Can I retain the ordinal nature of a predictor while answering a question about it that is inherently binary?

As part of a collaboration, I've been asked to fit a model with a continuous response $Y$ and an ordinal predictor $X$ (levels 1 to 5). The dataset owner is after an answer that is inherently binary: ...
• 19.7k
1 vote
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### Is data set enough for regression analysis? [closed]

I need to conduct regression analysis for my thesis (panel data), however, my data set turned out to be really small. I have only 6 companies to study (annual data for 11 years) and the sector i am ...
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### Analyzing the effect of satisfaction on transport mode preference using mixed logistic regression in R

I want to analyze the effect of satisfaction with different modes of transport (bus vs. train) on a specific route on stated preference. participants drove a specific route repeatedly with either bus ...
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550 views

### R Squared Causal Inference

I'm trying to know whether a low R-squared value would pose a problem when assessing the coefficients. My population is divided into two groups (A and B), and I want to assess if there's a significant ...
• 351
1 vote
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### Should I be using a lower resolution in my LMM if it dosen't match my predictor variables?

I have a set of animal movement values which are sampled at three hours (e.g. 500m/3h) I ran a Linear mixed model with the movement distance as the response variable, using sex, daytime (night and day)...
1 vote
47 views

### Potential Sign Issues in a Composite Performance Metric for Model Selection

I am analyzing the results of various machine learning models for a regression task, using four metrics: RMSE, MAE, MAPE, and $R^2$. My approach involves two types of analyses: Individual Metric ...
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### interactions in non-negative least squares

In the context of regressions models, I have some features for which I have a prior view on the coefficient sign while others may not be useful on their own (expect small or zero coefficient and no ...