A-50 Tables and Reference Information
8399APXA.DOC TI-83 international English Bob Fedorisko Revised: 02/19/01 1:25 PM Printed: 02/19/01 1:40 PM
Page 50 of 58
This section contains statistics formulas for the
Logistic
and
SinReg
regressions,
ANOVA
,
2
.
Samp
Ü
Test
, and
2
.
SampTTest
.
The logistic regression algorithm applies nonlinear
recursive least-squares techniques to optimize the
following cost function:
J
c
ae
y
bx
i
i
N
i
=
+
−
−
=
∑
1
2
1
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 estimate the constants
a
,
b
, and
c
recursively to make
J
as small as possible.
The sine regression algorithm applies nonlinear recursive
least-squares techniques to optimize the following cost
function:
[
]
J
a
bx
c
d
y
i
i
i
N
=
+ + −
=
∑
sin
(
)
2
1
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.
Statistics Formulas
Logistic
SinReg
