Expreg—(ab^x), Pwrreg—(ax^b), Logistic—c/ (1+a*e^-bx) – Texas Instruments TI-83 PLUS User Manual

Page 364

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TI-83 Plus

Statistics

361

LnReg

[

Xlistname

,

Ylistname

,

freqlist

,

regequ

]

ExpReg—(ab

x

)

ExpReg

(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

and

b

; when

DiagnosticOn

is set, it also displays values for

r

2

and

r

.

ExpReg

[

Xlistname

,

Ylistname

,

freqlist

,

regequ

]

PwrReg—(ax

b

)

PwrReg

(power regression) fits the model equation y=ax

b

to the data using

a least-squares fit and transformed values ln(x) and ln(y). It displays
values for

a

and

b

; when

DiagnosticOn

is set, it also displays values for

r

2

and

r

.

PwrReg

[

Xlistname

,

Ylistname

,

freqlist

,

regequ

]

Logistic—c/(1+a

ä

e

L

bx

)

Logistic

fits the model equation y=c/(1+a

ä

e

L

bx

) to the data using an

iterative least-squares fit. It displays values for

a

,

b

, and

c

.

Logistic

[

Xlistname

,

Ylistname

,

freqlist

,

regequ

]

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