Sinreg/Anova( - Texas Instruments TI-84 Plus Manual Book

SinReg SinReg SinReg SinReg
The sine regression algorithm applies nonlinear recursive least-squares techniques to
optimize the following cost function:
N
∑
[
J = a sin bx
i = 1
which is the sum of the squares of the residual errors,
where: = the independent variable list
x
y
= the dependent variable list
N
= the dimension of the lists
This technique attempts to recursively estimate the constants
small as possible.
ANOVA( ANOVA( ANOVA( ANOVA(
Ü statistic is:
The
ANOVA
FactorMS
Ü =
--------------------------
ErrorMS
Appendix B: Reference Information
2
( ) ]
+ c + d y –
i i
, , , and to make
a b c d
as
J
630