Khan Academy Static

Residuals measure how far away each data point is from a line that has been fit to the data in a scatterplot. A least-squares regression line tries to fit the data the best it can by making these residuals as small as possible, and we can measure how well a line fits using r-squared. This tutorial explores a few of the more advanced topics in linear regression.

4523_Squared_error_of_regression_line.html

4530_R_squared_or_coefficient_of_determination.html

4527_Proof_part_2_minimizing_squared_error_to_regression_line.html

4528_Proof_part_3_minimizing_squared_error_to_regression_line.html

4526_Proof_part_1_minimizing_squared_error_to_regression_line.html

4532_Covariance_and_the_regression_line.html

4531_Calculating_R_squared.html

4524_Regression_line_example.html

4529_Proof_part_4_minimizing_squared_error_to_regression_line.html

4525_Second_regression_example.html