Given a set of data points x[0..ndata-1],y[0..ndata-1] with individual standard deviations sig[0..ndata-1], fit them to a straight line y = a + bx by minimizing ¥ö2. Returned are a,b and their respective probable uncertainties siga and sigb, the chi-square chi2, and the goodness-of-fit probability q (that the fit would have ¥ö2 this large or larger). If mwt=0 on input, then the standard deviations are assumed to be unavailable: q is returned as 1.0 and the normalization of chi2 is to unit standard deviation on all points.

'Declaration
 
Public Overloads Shared Function TrendLine( _
   ByVal s As Series, _
   ByVal deviations As Series, _
   ByVal mwt As Integer _
) As Series

'Usage
 
Dim s As Series
Dim deviations As Series
Dim mwt As Integer
Dim value As Series
 
value = ForecastEngine.TrendLine(s, deviations, mwt)

public static Series TrendLine( 
   Series s,
   Series deviations,
   int mwt
)