Texas Instruments TI-NSPIRE Software Manual page 231

Exponential Regression (ExpReg)
The
Exponential Regression
using a least-squares fit and transformed values x and ln(y). It displays
values for , ,
a b r
Logarithmic Regression (LogReg)
The
Logarithmic Regression
data using a least-squares fit and transformed values ln(x) and y. It
displays values for
Sinusoidal Regression (SinReg)
The
Sinusoidal Regression
the data using an iterative least-squares fit. It displays values for
and . At least four data points are required. At least two data points per
d
cycle are required in order to avoid aliased frequency estimates.
Note: The output of
Radian/Degree mode setting.
Logistic Regression (d=0) (Logistic)
The
Logistic Regression
the data using an iterative least-squares fit. It displays values for
Logistic Regression (d
(d ƒ
The
Logistic
to the data using an iterative least-squares fit. It displays values for
and .
d
Multiple Linear Regression (MultReg)
The
Multiple Linear Regression
list Y on lists X1, X2, ..., X10.
Note: There is no draw option for multiple linear regression.
Using Lists & Spreadsheet
fits the model equation y=ab
2
, and .
r
fits the model equation y=a+b ln(x) to the
2
, , , and
a b r r
fits the model equation y=a sin(bx+c)+d to
is always in radians, regardless of the
SinReg
(d=0)
ƒ 0) (LogisticD)
0)
regression fits the model equation y=c/(1+a...e
.
fits the model equation y=c/(1+a...e
calculates multiple linear regression of
x
to the data
, , ,
a b c
L bx ) to
, , and .
a b c
bx) )+d)
(L
, ,
a b c
219