Ordinary Least Squares Regression:
Ordinary least squares regression is a special (and the most common) kind of ordinary linear regression . It is based on the least squares method of finding regression parameters.
Technically, the aim of ordinary least squares regression is to find out those values [^a] and [^b] of parameters a (“intercept”) and b (“slope”) in the simple linear regression model
that minimize the sum of squares of residuals:
See also: multiple least squares regression
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