Does every variable need to be statistically significant in a ...
Oct 18, 2024 · I recently fit a regression model (ARIMAX) in which some variables (3) were statistically significant and some were not (1). I removed the statistically insignificant variables …
How to describe or visualize a multiple linear regression model
Then this simplified version can be visually shown as a simple regression as this: I'm confused on this in spite of going through appropriate material on this topic. Can someone please explain to …
regression - What does it mean to regress a variable against …
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 …
regression - Why do we say the outcome variable "is regressed …
Apr 15, 2016 · The word "regressed" is used instead of "dependent" because we want to emphasise that we are using a regression technique to represent this dependency between x …
What is the intuition behind the idea that for linear regression, the ...
Dec 9, 2023 · If a population model has k independent variables and 1 intercept, why are k+1 observations required to perform OLS estimates? What is the intuition behind this?
How do I perform a regression on non-normal data which remain …
I've got some data (158 cases) which was derived from a Likert scale answer to 21 questionnaire items. I really want/need to perform a regression analysis to see which items on the …
Can we put change scores into regression models?
Jan 23, 2026 · Can we put change scores into regression models? Ask Question Asked 26 days ago Modified 21 days ago
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 …
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
Linear regression: interpret coefficient in terms of percentage …
Jun 8, 2024 · 5 I have a linear regression, where Y is a count number. Y = a + b1X1 + b2X2 I know we can interpret b1 as: a unit increase in X1 will change Y by b1. But how can I interpret …