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# Interpreting Regression Analysis

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I've calculated the Regression Analysis Table and need help interpreting the following:

Analyze the effect of sack yardage has on quarterback rating.
a. Does the sack yardage predict the QB rating?
b. What is the regression equation and is this a significant equation?
c. What is your prediction for the QB rating of a quarterback that has 300 sack yards?

See Attached file.

https://brainmass.com/statistics/regression-analysis/interpreting-regression-analysis-78559

#### Solution Preview

Hello!

Question A
This fact should be checked in the p-value associated to the t-statistic of the sac yardage coefficient. In this case, the t-stat is -2.806 and its associated p-value is 0.0072. Since this value is smaller than 0.05, we can conclude that, with 95% confidence, the sack yardage does predict the QB ...

#### Solution Summary

This solution helps with analysis of regression analysis.

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## 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.

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