TI-83 Plus Tables and Reference Information 722
SinReg
The sine regression algorithm applies nonlinear recursive least-squares
techniques to optimize the following cost function:
()[]
2
1
sin
∑
=
−++= N
iii ydcbxaJ
which is the sum of the squares of the residual errors,
where: x= the independent variable list
y= the dependent variable list
N= the dimension of the lists
This technique attempts to recursively estimate the constants a, b, c, and
d to make J as small as possible.
ANOVA(
The ANOVA Û statistic is:
ÛMSError
MSFactor
=