This week, we will learn some methods to recognize and measure the
correlation between two variables as well as how to find a “line of best
fit” between them. By the end, you will be able to:
Recognize when to use correlation.
Interpret the magnitude and direction of a correlation.
Explain the influence of outliers.
Describe the Pearson correlation and the Spearman correlation.
Explain the term “line of best fit”.
Interpret intercept and slope coefficients.
Define residuals.
Describe the standard error of the estimate.
Report the assumptions of linear regression and how to test
them.
Explain standardized regression and its connection to
correlation.
Videos!
To get started, open up a notebook (physical, digital…whatever you
take notes in best), and take notes while you watch
these two videos to learn about correlation and regression:
Readings!
After watching the above videos, read through the following chapters
and take notes.