/// <summary>
/// Standard error for the Alpha (y-intercept) coefficient of a linear
/// regression function y = a*x + b.
/// <para>
/// Described at:
/// http://www.chem.utoronto.ca/coursenotes/analsci/StatsTutorial/ErrRegr.html
/// </para>
/// </summary>
/// <param name="y">Y values</param>
/// <param name="x">X values</param>
public static double StdErrBTerm2(Statistics y, Statistics x)
{
try
{
return StdDevY(y, x)*Math.Sqrt(x.SumOfSquares()/(x._list.Length*x.VarianceTotal()));
}
catch (Exception)
{
return double.NaN;
}
}
/// <summary>
/// Standard error for the a term (slope) of a linear
/// regression function y = a*x + b.
/// <para>
/// Described at:
/// http://www.chem.utoronto.ca/coursenotes/analsci/StatsTutorial/ErrRegr.html
/// </para>
/// </summary>
/// <param name="y">Y values</param>
/// <param name="x">X values</param>
public static double StdErrATerm2(Statistics y, Statistics x)
{
try
{
return StdDevY(y, x) / Math.Sqrt(x.VarianceTotal());
}
catch (Exception)
{
return double.NaN;
}
}