Mention the regression equation as described in $ (i)$ (coefficients, constant) along with standard deviation and then a residual error plot to show the accuracy of this model.
regression - Trying to understand the fitted vs residual plot? - Cross ...
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 sentence "y is regressed on x" is the short format of: Every predicted y shall "be dependent on" a value of x through a regression technique.
regression - Why do we say the outcome variable "is regressed on" the ...
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 education the results s...
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 seem like it ...
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?
I am currently testing a binary logistic regression model (N=2000), examining the relationship between several independent variables (such as substance use -categorial-, gender-categorial-, self-co...
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), which allows interactions.
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 multiple regression? In particular, it would be good if value is assigned to the degree to which any strategy can readily be applied by a non ...