R STUDIO QUESTION:

On the OpenIntro dataset site, load the dataset `satgpa` (found here: https://www.openintro.org/data/) , which has data on sat percentiles, high school gpa, and first year college gpa, along with the student's sex.

Show the steps to build a model predicting the **first year college gpa** off of the other variables. Go through any diagnostic graphs we talked about (mostly with SLR) as you go to check the regression conditions.

Then, settle on a model (which can end up being SLR or MLR).

Then, using your model, predict the first year college gpa for the very first student in the data set.

Then give the student's residual. Does this student have a positive or negative residual? What could this mean in real life to explain this residual?