# Interpreting Regression Analysis Output from EViews

I need to be able to critically assess a regression analysis printout from EViews (sample attached) and be able to identify possible issues - i.e.:

- potential heteroskedasticity

- potential autocorrelation

- potential multicollinearity problem

prior to running the specific tool which provides further analysis for one of these 3 issues. Also, assessing the f-statistic and obs*r-squared from one of these 3 tests to confirm or reject the existence of a problem.

Knowing what values in what fields will indicate statistical significance is essentially what I need.

NOTE: The attached file is a sample printout (the data is not correct) - I need to know 'in general' what to look out for in a printout.

© BrainMass Inc. brainmass.com October 9, 2019, 4:42 pm ad1c9bdddfhttps://brainmass.com/statistics/regression-analysis/interpreting-regression-analysis-output-from-eviews-39247

#### Solution Preview

I think what you are generally asking is how to interpret output from a hypothesis test whether it is for heteroskedasticity, autocorrelation, or multicollinearity. When you run a hypothesis test the null is that the condition doesn't exist or that there is no heteroskedasticity, autocorrelation, or multicollinearity. The test statistic is used to try to reject ...

#### Solution Summary

The solution provided is a 200-250 word general explanation of how to interpret whether output from a hypothesis test is for heteroskedasticity, autocorrelation, or multicollinearity and three .pdf attachments which got into more depth on the topic.