9k views

### Difference between effect size (partial $R^2$) and coefficients [duplicate]

I am working with spoken language data and use linear models do determine the relationship between different phonological processes in my data. Background Measures of the regularity of syllable ...
68k views

### Suppression effect in regression: definition and visual explanation/depiction

What is a suppressor variable in multiple regression and what might be the ways to display suppression effect visually (its mechanics or its evidence in results)? I'd like to invite everybody who has ...
12k views

### For linear classifiers, do larger coefficients imply more important features?

I'm a software engineer working on machine learning. From my understanding, linear regression (such as OLS) and linear classification (such as logistic regression and SVM) make a prediction based on ...
51k views

### Multiple regression or partial correlation coefficient? And relations between the two

I don't even know if this question makes sense, but what is the difference between multiple regression and partial correlation (apart from the obvious differences between correlation and regression, ...
10k views

### Why can't ridge regression provide better interpretability than LASSO?

I already have an idea about pros and cons of ridge regression and the LASSO. For the LASSO, L1 penalty term will yield a sparse coefficient vector, which can be viewed as a feature selection method. ...
7k views

### Should partial $R^2$ add up to total $R^2$ in multiple regression?

Following is a model created from mtcars dataset: ...
12k views

### How to evaluate effect size from a regression output

When running a regression, statistical significance of an effect is important but its magnitude is even more important. How should I evaluate the size of an effect? I've read that usually in ...
4k views

### Which variable relative importance method to use?

Following is a plot from relaimpo package of R which shows relative importance of predictor variables for regression of mpg on all other variables in mtcars dataset. The relative importance is ...
313 views

### Which are the most important predictors (and how great is their impact) of a continuous dependent variable?

I have a continuous outcome (dependent) variable, which is body weight and I'm wondering which of my 20 candidate predictors (independent variables) are the most important ones for prediting body ...
807 views

### How to partition $R^2$ among predictors in multiple regression with interaction terms in R

Say I have some predictors, and I know how they affect some dependent variable: ...