The procedure CalcLinFit estimates the best fit of a straight line to a sample of twodimensional data points using linear regression. The line is defined by the equation
y = kx + d.
The data points have to be entered by using the procedure EnterStatValue. A minimum number of 2 values is required in order to apply CalcLinFit. Do not forget to reset the statistics calculation before entering any new datasets (use Init)
The procedure CalcLinFit returns the following parameters: k and d define the slope and the offset of the line, and FitQual returns the goodness of fit of the regression. FitQual equals the square of the correlation coefficient. A good representation of the data samples yields a value near to 1.0 for FitQual.
