The details, which follow, assume the following fit functions:
degrees of freedom (ndf) : 312 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 6.76495 variance of residuals (reduced chisquare) = WSSR/ndf : 45.7646 Final set of parameters Asymptotic Standard Error ======================= ========================== const = 191.051 +/- 17.91 (9.375%) linear = -0.466755 +/- 0.04057 (8.691%) quadratic = -0.000230233 +/- 1.797e-05 (7.805%) -- degrees of freedom (ndf) : 313 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 8.36948 variance of residuals (reduced chisquare) = WSSR/ndf : 70.0482 Final set of parameters Asymptotic Standard Error ======================= ========================== C = 345.252 +/- 16.56 (4.796%) r = 0.000104781 +/- 3.761e-05 (35.9%) -- degrees of freedom (ndf) : 49 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.17872 variance of residuals (reduced chisquare) = WSSR/ndf : 1.38939 Final set of parameters Asymptotic Standard Error ======================= ========================== Z = 251.641 +/- 2.784 (1.106%) A = 26.2518 +/- 4.159 (15.84%) F = 34.2367 +/- 1.424 (4.159%) G = 1.45872 +/- 0.3137 (21.51%) -- degrees of freedom (ndf) : 289 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 8.3324 variance of residuals (reduced chisquare) = WSSR/ndf : 69.4289 BREAK: Singular matrix in Invert_RtRBack to Ben's Home Page.
Page last updated Fri Nov 6 23:58:26 CST 2009. Comments should be directed to menscher@uiuc.edu.