# Multiple Regression: Variation Explained

I'm stuck on a homework problem and I'm hoping you all might be able to help me out. I'd be very appreciative!

We were given this data set: Data. I ran a regression in Minitab with GPA as the response and IQ and Self-Concept as the predictors. I've answered a number of questions correctly with this regression, but I can't figure out how to interpret the data to answer the following two questions:

1. What percent of the variation in GPA is explained by IQ?
2. Additional amount of variation explained due to the addition of Self-Concept to the model?

This is what I got from Minitab:

Is this enough information to discern the answer to these questions? If so, how do I interpret this information to find the percent of variation explained by each predictor?

• You have been given enough information there to answer the questions. See of the discussion of sequential sums of squares here, and note how proportion of variation explained relates to regression sums of squares here Commented Apr 29, 2014 at 23:50