
Support Vector Regression vs. Linear Regression - Cross Validated
Dec 5, 2023 · Linear regression can use the same kernels used in SVR, and SVR can also use the linear kernel. Given only the coefficients from such models, it would be impossible to distinguish …
regression - What does it mean to regress a variable against another ...
Dec 21, 2016 · Those words connote causality, but regression can work the other way round too (use Y to predict X). The independent/dependent variable language merely specifies how one thing depends …
What is the lasso in regression analysis? - Cross Validated
Oct 19, 2011 · LASSO regression is a type of regression analysis in which both variable selection and regulization occurs simultaneously. This method uses a penalty which affects they value of …
How should outliers be dealt with in linear regression analysis ...
What statistical tests or rules of thumb can be used as a basis for excluding outliers in linear regression analysis? Are there any special considerations for multilinear regression?
Newest 'regression' Questions - Cross Validated
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
Why do we need so many dummy variables in a regression with …
Oct 25, 2022 · Why do we need so many dummy variables in a regression with categorical predictor? Why not use binary encoding instead of one-hot encoding? Ask Question Asked 3 years, 3 months …
How to choose reference category of predictors in logistic regression ...
Feb 1, 2024 · I am struggling to decide which reference category I should define in my logistic regression model. When I define "mandatory school" as a reference in the variable …
How to determine which variables are statistically significant in ...
How to determine which variables are statistically significant in multiple regression? Ask Question Asked 13 years, 4 months ago Modified 3 years, 4 months ago
When to use negative binomial and Poisson regression
Sep 2, 2024 · When would one use a negative binomial regression and when would one use Poisson regression with respect to the mean and variance?
When conducting multiple regression, when should you center your ...
Jun 5, 2012 · In some literature, I have read that a regression with multiple explanatory variables, if in different units, needed to be standardized. (Standardizing consists in subtracting the mean and dividin...