regression - Trying to understand the fitted vs residual plot? - Cross ...
Dec 23, 2016 · A good residual vs fitted plot has three characteristics: The residuals "bounce randomly" around the 0 line. This suggests that the assumption that the relationship is linear is reasonable. The …
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 …
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 …
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 …
Regression with multiple dependent variables? - Cross Validated
Nov 14, 2010 · Is it possible to have a (multiple) regression equation with two or more dependent variables? Sure, you could run two separate regression equations, one for each DV, but that doesn't …
What are the advantages of stepwise regression?
Jun 10, 2016 · I am experimenting with stepwise regression for the sake of diversity in my approach to the problem. So, I have 2 questions: What are the advantages of stepwise regression?
Low R-squared for binary logistic regression model but all variables ...
Jan 8, 2024 · I am currently testing a binary logistic regression model (N=2000), examining the relationship between several independent variables (such as substance use -categorial-, gender …
regression - Are SHAP values potentially misleading when predictors …
Jul 22, 2021 · I'm interested in a regression setting where X is a p-dimensional vector of predictors (aka features), and we are using SHAP to understand the behavior of a nonlinear regression model f (X), …
Rules of thumb for minimum sample size for multiple regression
Would you suggest an alternative rule of thumb for minimum sample size for multiple regression? Alternatively, what alternative strategies would you suggest for determining minimum sample size for …
Does simple linear regression imply causation? - Cross Validated
I know correlation does not imply causation but instead the strength and direction of the relationship. Does simple linear regression imply causation? Or is an inferential (t-test, etc.) statistica...