UNIT 3: LINEAR REGRESSION AND CORRELATION
When studying relationships between variables, it’s also useful to quantify the degree of association between them and derive a model to describe the data. It is extremely important, however, not to confuse association between two variables with causation.
TOPICS COVERED
- Correlation Coefficient, [latex]r[/latex]
- Causation vs. Correlation
- Linear Regressions – Method of Least Squares for the best fit line
- Predictions
- Coefficient of Determination
LEARNING OUTCOMES
- Discuss basic ideas of linear regression and correlation
- Create and interpret a line of best fit
- Calculate and interpret the correlation coefficient, [latex]r[/latex], and coefficient of determination, [latex]r^2[/latex]
- Calculate and interpret outliers
- Use technology (Graphing calculators, Excel, R, etc.) to calculate correlation coefficient and the regression equation
