very basic question

[ajina]

Hi there;

I knew that the t-test value I got when I ran the bootstrapping indicate the significance of the relationships if high than 1.96 at 95 confident level.

But I still straggle with the algorithm values beta and R square.
what is a good value for beta and R square?
how can these numbers be interpreted?

Best

[Hengkov]

Hi,

For R^2 or adjusted R^2 value I recommend <= 0.25 = small; <= 0.50 = medium and <= 0.70 = large. If the result large than 0.75, this indicate colinearity problem.

For beta value, range 0.30 - 0.50 is good.

Regards,