Texas Instruments TI-83 Manual Book page 227

PwrReg
b
(ax )
Logistic
Lbx
c / (1+aäe )
SinReg
a sin(bx+c)+d
(power regression) fits the model equation y=ax
PwrReg
the data using a least-squares fit and transformed values
ln(x) and ln(y). It displays values for
is set, it also displays values for
DiagnosticOn
[Xlistname
PwrReg
fits the model equation y=c / (1+aäe
Logistic
using an iterative least-squares fit. It displays values for
and .
c
[Xlistname
Logistic
(sinusoidal regression) fits the model equation
SinReg
y=a sin(bx+c)+d to the data using an iterative least-squares
fit. It displays values for
points are required. At least two data points per cycle are
required in order to avoid aliased frequency estimates.
[iterations,Xlistname,Ylistname,period,regequ]
SinReg
iterations is the maximum number of times the algorithm
will iterate to find a solution. The value for iterations can
be an integer ‚ 1 and  16; if not specified, the default is 3.
The algorithm may find a solution before iterations is
reached. Typically, larger values for iterations result in
longer execution times and better accuracy for
vice versa.
A period guess is optional. If you do not specify period, the
difference between time values in Xlistname must be equal
and the time values must be ordered in ascending
sequential order. If you specify period, the algorithm may
find a solution more quickly, or it may find a solution when
it would not have found one if you had omitted a value for
period. If you specify period, the differences between time
values in Xlistname can be unequal.
Note: The output of
Radian/Degree
mode setting.
A example is shown on the next page.
SinReg
Ylistname freqlist
, ,
Ylistname freqlist
, ,
, , , and
a b c
SinReg
is always in radians, regardless of the
and ; when
a b
2
and .
r r
regequ]
,
Lbx
) to the data
regequ]
,
. At least four data
d
SinReg
Statistics 12-27
b
to
, ,
a b
, and