WebCab Probability and Statistics for .NET v3.3 Demo

Correlation.LeastSquaresRegressionLineX Method 

Constructs the regression line of X on Y using the method of least squares, for the set of pairs of points: (xValues[0], yValues[0]), (xValues[1], yValues[1]),.

public double[] LeastSquaresRegressionLineX(
   double[] xValues,
   double[] yValues
);

Parameters

xValues
The values of the first elements within the pairs.
yValues
The values of the second elements within the pairs.

Return Value

an array d = d[0], d[1], with two elements, where the regression line will be given in functional form by the following formula: X(y)=d[0]*Y+d[1], where X is the variable corresponding to the first element (i.e. the xValues) and Y is the variable corresponding to the second element (i.e. the yValues).

Remarks

.. , (xValues[n], yValues[n]). That is, the regression line using the least squares method is constructed when the first element of the pairs from which the data set of constructed is plot against the second elements of the pairs.

See Also

Correlation Class | WebCab.Libraries.Statistics.Correlation Namespace | Calculates the regression line of Y on X using the method of least squares.