Texas Instruments TI-83 PLUS - Manual (Page 725)

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
i
i i
y d c bx a J
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:
Û
MS Error
MS Factor
=