Chapter 8 Summary

The linear model describes the relationship between a response variable and one or more other predictor variables. It is used to analyze a well-formulated hypothesis, often associated with a more general research question. Regression determines whether variables are correlated by inferring the direction and strength of a relationship, and our confidence in the effect estimates.

In the next workshop, you will learn how to program in R. You will learn how to use control structures (for, if, while loops) to avoid repeating code, to make organization easier, and to perform simulations. You will also learn how to write your own functions and some tricks to program more efficiently.