Quartreg—(ax^4+bx^3+cx^2+dx+e), Linreg—(a+bx), Lnreg—(a+b ln(x)) – Texas Instruments TI-83 PLUS User Manual

Page 363

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TI-83 Plus

Statistics

360

CubicReg

[

Xlistname

,

Ylistname

,

freqlist

,

regequ

]

QuartReg—(ax

4

+bx

3

+cx

2

+ dx+e)

QuartReg

(quartic regression) fits the fourth-degree polynomial

y=ax

4

+bx

3

+cx

2

+dx+e to the data. It displays values for

a

,

b

,

c

,

d

, and

e

;

when

DiagnosticOn

is set, it also displays a value for

R

2

. For five points,

the equation is a polynomial fit; for six or more, it is a polynomial
regression. At least five points are required.

QuartReg

[

Xlistname

,

Ylistname

,

freqlist

,

regequ

]

LinReg—(a+bx)

LinReg(a+bx)

(linear regression) fits the model equation y=a+bx to the data

using a least-squares fit. It displays values for

a

(y-intercept) and

b

(slope);

when

DiagnosticOn

is set, it also displays values for

r

2

and

r

.

LinReg(a+bx)

[

Xlistname

,

Ylistname

,

freqlist

,

regequ

]

LnReg—(a+b ln(x))

LnReg

(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

and

b

; when

DiagnosticOn

is set, it also displays

values for

r

2

and

r

.

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