Correlation and Simple Linear Regression

In this lesson, we will learn correlation and simple linear regression. We will understand relationships between two numerical variables, correlation coefficient, the difference from causation, regression line, slope, intercept, and R-squared through practical examples. ## Lesson objective In this lesson, we will learn correlation and simple linear regression. In the previous lesson, we covered hypothesis testing. We learned null hypothesis, alternative hypothesis, significance level, p-value, statistical significance, practical significance, Type I and Type II errors. Now we will learn how to analyze the relationship between two numerical variables.