The routine fits equations to data by minimizing the sum of squared residuals: 

SS = Sum [y(k) - ycalc(k)]^2 , 

where y(k) and ycalc(k) are respectively the observed and calculated value of the dependent variable for observation k. ycalc(k) is a function of the regression parameters b(0) and b(1). In case constant term is used, the observed values obey the following equation: 

y(k) = b(0) + b(1) * x 

i.e 

Y = b(0) + b(1)*X. 

or if constant term is NOT used: 

y(k) = b(0) * x 

To calculate additional regression statistical parameters, use RegressTest routine.

MulLinRegress, RegressTest

The following example loads data for simple linear regression (line equation) and then extracts line parameters b(0)=n and b(1)=k:

Regress Methods