Khan Academy: Linear Regression and Correlation

Linear regression and correlation with minimizing squared error to regression line.

Explore linear regression and correlation in this video.

Explore linear regression and correlation in this video.

Linear regression and correlation and R-Squared or Coefficient of Determination.

Minimizing squared error to regression line.

Linear regression is a process of drawing a line through data in a scatter plot. The line summarizes the data, which is useful when making predictions.

Video shows using a spreadsheet to demonstrate calculating the coefficient of determination or r-squared. Also explains how to interpret the value of r-squared.

Learners explore scatter plots. In this linear regression lesson, groups of pupils graph scatter plots and then find the line of best fit. They identify outliers and explain the correlation. Each group summarizes and shares their...

Video uses a real world medical article as an example to explain the difference between correlation and causation. Understanding why correlation does not imply causality (even though many in the press and some researchers often imply...

Video demonstrates how to use the formulas to determine the best fitting regression line by doing an example of finding the regression line given 3 points. Includes graphing the regression line to show it visually. [9:27]