Need help with a problem

#1
Hello there,

I want to know how to compare two simple linear regression models (through hypothesis testing) knowing only the following for each model:
1- Coefficients
2- p value for the coefficient
3- R square

Thank you
 

obh

Active Member
#2
1. For simple linear regression, the p-value of the coefficient is also the p-value of the model.
2. R square is the ratio of the variance of the DV that is explained by the model.
3. You may test the models on new data
 
#3
What do you mean by "compare"? Are you talking about a one predictor vs a two predictor model on the same data? Or perhaps a transformed predictor vs a raw predictor? Or what?
You probably also need to know the sample size.