Appendix B: Reference Information
630
SinReg
SinReg
SinReg
SinReg
The sine regression algorithm applies nonlinear recursive least-squares techniques to
optimize the following cost function:
which is the sum of the squares of the residual errors,
This technique attempts to recursively estimate the constants
a
,
b
,
c
, and
d
to make
J
as
small as possible.
ANOVA(
ANOVA(
ANOVA(
ANOVA(
The
ANOVA
Ü
statistic is:
Ü
=
where:
x
y
N
=
=
=
the independent variable list
the dependent variable list
the dimension of the lists
J
a
sin
bx
i
c
+
(
)
d
y
i
–
+
[
]
2
i
1
=
N
∑
=
FactorMS
ErrorMS
--------------------------
Summary of Contents for -84 Plus
Page 1: ...TI 84 Plus TI 84 Plus Silver Edition Guidebook...
Page 213: ...Chapter 8 Draw Instructions 210...
Page 248: ...Chapter 10 Matrices 245 row value matrix rowA rowB...
Page 332: ...Chapter 12 Statistics 329...
Page 413: ...Chapter 14 Applications 410...
Page 427: ...Chapter 15 CATALOG Strings Hyperbolic Functions 424 sinh 1 value cosh 1 value sinh 1 value...
Page 496: ...Chapter 17 Activities 493 If C A and D B Stop Goto Z Quit if guesses are correct...
Page 672: ...Appendix C Service and Warranty Information 669...