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Ordinary Least Squares (OLS)

Ordinary Least Squares (OLS) minimizes the residual sum of squares (RSS). RSS is the sum of each squared residual (residual = the observed Y minus the predicted "on the line" Y).

Also, about the OLS: the average residual is always zero, and the line passes through the point (average X, average Y).

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01
Introduction to Linear Regression
02
Standard Error of Estimate (SEE)
03
Coefficient of Determination (R-Squared)
04
Sample Regression Function (SRF)
05
Ordinary Least Squares (OLS)
06
Standard Error in Linear Regression
07
ANOVA Table in Regression
08
Using LINEST() Function in Excel for Multivariate Regression

Topics

Statistical Methods