Chapter 12: Statistics 201
LinReg (ax+b)
LinReg(ax+b) (linear regression) fits the model equation y=ax+b to the data using a least-squares fit.
It displays values for
a (slope) and b (y-intercept); when DiagnosticOn is set, it also displays values
for
r
2
and r.
LinReg(ax+b) [Xlistname,Ylistname,freqlist,regequ]
QuadReg (ax
2
+bx+c)
QuadReg (quadratic regression) fits the second-degree polynomial y=ax
2
+bx+c to the data. It
displays values for
a, b, and c; when DiagnosticOn is set, it also displays a value for R
2
. For three
data points, the equation is a polynomial fit; for four or more, it is a polynomial regression. At least
three data points are required.
QuadReg [Xlistname,Ylistname,freqlist,regequ]
CubicReg—(ax
3
+bx
2
+cx+d)
CubicReg (cubic regression) fits the third-degree polynomial y=ax
3
+bx
2
+cx+d to the data. It
displays values for
a, b, c, and d; when DiagnosticOn is set, it also displays a value for R
2
. For four
points, the equation is a polynomial fit; for five or more, it is a polynomial regression. At least four
points are required.
CubicReg [Xlistname,Ylistname,freqlist,regequ]
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