R-square or adjusted R-square for one variable model? I have model like y=mx. Since the adjusted R2 tells you the percentage of variation explained by only the independent variables that actually affect the dependent variable and I have only one independent variable, do I need to consider my adjusted r-square value? Or, r-square is good for this type of model?
They're going to be very similar (practically the same), for a model with only one independent variable. So I'd say it doesn't matter without understanding better your purpose in using R2 / Adj R.