EViews.com

There are two probability values EViews generates: the one for the independent variables regressed (written as Prob. next to the t-statistics column) and the one to determine the overall significance of the model (Prob(F-statistics) written below the table). To reject or accept the null hypothesis of my project, which one of those p-values do I compare with the level of significance? Note that I have only one independent variable.

If you only have one independent variable, are the values different?

Yes, they are. I got 0.2712 for the Prob. of the t-statistic for the independent variable but the Prob(F-statistic) was 0.00001. I don't know which one to use.

You've done something unusual, though not necessarily wrong. You'll need to post more details.

What details do you need?

Perhaps a screenshot. Maybe the work file including the equation you estimated

Not to sound really stupid but how do I upload pictures here?

Click on the Attachments tab below the reply field.

Alright. Thank you.

This is all I have of the results as I didn't run it myself. I used Panel Least Square for the regression analysis.

It is hard to see what's going in here. I suspect that fixed effects were included, in which case you want the p-value next to the t-statistic.

I'm sorry but I don't understand what you mean by any of that. Isn't the p-value already next to the t-statistic?

Probably should use the p-value next to the t statistic as opposed to the one near the F

I thought so too but my supervisor says otherwise. I thought the Prob(F-statistic) was only to test the overall significance of the model or the goodness of fit (as I've read in some journals) but my supervisor doesn't think so. If I had more than one independent variable, what p-value should I use? And what did you mean by fixed effects?

The t test tests whether a given coefficient equals zero. The F test tests whether all the coefficients except the constant equals zero. So if there is only one coefficient the p-values should be identical. The output you have must have something unusual behind it, but there's no way to know what it is without knowing exactly how it was created.

Thank you so much for explaining this!