# Tagged Questions

26 views

### How to calculate Beta and coefficient of determination ($R^2$) from unstandardized coefficients in OLS regression? [duplicate]

I have a table in which the multiple linear regression results is provided. If I have unstandardized coefficients and standard error for each independent variable, is it possible to calculate ...
54 views

### Comparing models with different number of predictors

Given that the overall F-test of a multiple regression model has an F distribution, which depends on the number of predictors in the model, I understand why you cannot compare the F-statistics from ...
68 views

### Multiple Linear Regression Models Comparison Based on R-squared And Residual Errors

am currently working on a problem where I have to calibrate weather parameters at a ground location using Satellite data available (1979-2012) over rectangular grid points and surface observatory data ...
239 views

### R squared change multiple linear regression

I calculate multiple linear regression in R with lm(var ~ VAR1+VAR2+VAR3+VAR4) Do you know how to calculate R-squared change for each variable ...
180 views

### How to split r-squared between predictor variables in multiple regression?

I have just read a paper in which the authors carried out a multiple regression with two predictors. The overall r-squared value was 0.65. They provided a table which split the r-squared between the ...
230 views

### What is an unbiased estimate of population R-square?

I am interested in getting an unbiased estimate of $R^2$ in a multiple linear regression. On reflection, I can think of two different values that an unbiased estimate of $R^2$ might be trying to ...
2k views

### How to interpret R-squared in multiple regression with more sets of dummies and continuous variables?

I have a problem with a multiple regression I performed: model without constant term; one dependent continuous variable; first set of dummies: derived from 2 continuous variables, I used the median ...
1k views

### How can I use the value of $R^2$ to test the linearity assumption in multiple regression analysis?

The below graphs are residual scatter plots of a regression test for which "normality", "homoscedasticity" and "independence" assumptions have already been met for sure! For testing the "linearity" ...
246 views

### Regression $R^2$ and correlations

I understand that for simple linear regression, the sample correlation coefficient is the square root of the $R^2$. But that's just for a simple (i.e., single variable) regression ...