Using Lists & Spreadsheet 219
Exponential Regression (ExpReg)
The Exponential Regression fits the model equation y=ab
x
to the data
using a least-squares fit and transformed values x and ln(y). It displays
values for
a, b, r
2
, and r.
Logarithmic Regression (LogReg)
The Logarithmic Regression fits the model equation y=a+b ln(x) to the
data using a least-squares fit and transformed values ln(x) and y. It
displays values for
a, b, r
2
, and r.
Sinusoidal Regression (SinReg)
The Sinusoidal Regression fits the model equation y=a sin(bx+c)+d to
the data using an iterative least-squares fit. It displays values for
a, b, c,
and d. At least four data points are required. At least two data points per
cycle are required in order to avoid aliased frequency estimates.
Note: The output of
SinReg is always in radians, regardless of the
Radian/Degree mode setting.
Logistic Regression (d=0) (Logistic)
The Logistic Regression (d=0) fits the model equation y=c/(1+a…e
L
bx
) to
the data using an iterative least-squares fit. It displays values for a, b, and c.
Logistic Regression (dƒ0) (LogisticD)
The Logistic (dƒ0) regression fits the model equation y=c/(1+a…e
(L
bx)
)+d)
to the data using an iterative least-squares fit. It displays values for a, b, c
and d.
Multiple Linear Regression (MultReg)
The Multiple Linear Regression calculates multiple linear regression of
list Y on lists X1, X2, …, X10.
Note: There is no draw option for multiple linear regression.
To Next Page
Loading...
Need help?
General
Weight and Dimensions
