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 and refit the …
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 me how to …
Null hypothesis for ANOVA for regression - Cross Validated
Oct 26, 2023 · For simple linear regression, the null hypothesis for the ANOVA is that the regression model (fit line) is identical to a simpler model (horizontal line). In other words, the null hypothesis is …
Which regression to use for count outcome after PSM and to properly ...
Mar 1, 2025 · Performing regression adjustment, relates closely to double robustness (see Kang & Schafer's (2007) Demystifying Double Robustness: A Comparison of Alternative Strategies for …
regression - Why do we say the outcome variable "is regressed on" the ...
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 and y. So, this …
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?
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 …
Why Isotonic Regression for Model Calibration?
Jan 27, 2025 · 1 I think an additional reason why it is so common is the simplicity (and thus reproducibility) of the isotonic regression. If we give the same classification model and data to two …
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
Simple linear regression output interpretation - Cross Validated
I have run a simple linear regression of the natural log of 2 variables to determine if they correlate. My output is this: R^2 = 0.0893 slope = 0.851 p < 0.001 I am confused. Looking at the $...