1. Learn
    2. /
  2. Courses
    3. /
  3. Intro to Statistics with R: Multiple Regression
  • 1

    A gentle introduction to the principles of multiple regression

    Free

    The first chapter of the module will start with introducing the multiple regression equation, and the multiple correlation coefficient. You will visualize relationships between variables, and learn how to interpret the outcomes of the model.

  • 2

    Intuition behind estimation of multiple regression coefficients

    This chapter is especially for those that haven’t done matrix algebra before, or for those that need to do a quick refresh on it. If you want to have a basic understanding on how the regression coefficients are estimated all at once in a multiple regression, you need matrix algebra. Step-by-step this chapter will show you how you go in R from a raw matrix data frame to the correlation matrix and the corresponding regression coefficients.

  • 3

    Dummy coding

    Dummy coding is used to code categorical variables in a regression analysis. Furthermore, dummy coding will also play an important role once you start doing more complex multiple regression analysis like in moderation (module 7). Conceptually, this chapter is not that hard, but dummy coding can become tedious and you have to be careful not to get tricked when doing your analysis. This chapter will show you how to avoid the most common traps.

Initializing