Quadreg (ax2+bx+c), Cubicreg-(ax3+bx2+cx+d), Quartreg-(ax4+bx3+cx2+ dx+e) – Texas Instruments TI-84 User Manual

Page 312

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Chapter 12: Statistics

309

LinReg(ax+b)

[

Xlistname,Ylistname,freqlist,regequ

]

QuadReg (ax

QuadReg (ax

QuadReg (ax

QuadReg (ax

2

+bx+c)

+bx+c)

+bx+c)

+bx+c)

QuadReg

(quadratic regression) fits the second-degree polynomial y=ax

2

+bx+c to the

data. It displays values for

a

,

b

, and

c

; when

DiagnosticOn

is set, it also displays a value

for

R

2

. For three data points, the equation is a polynomial fit; for four or more, it is a

polynomial regression. At least three data points are required.

QuadReg

[

Xlistname,Ylistname,freqlist,regequ

]

CubicReg—(a

CubicReg—(a

CubicReg—(a

CubicReg—(ax

xx

x

3

+b

+b

+b

+bx

xx

x

2

+c

+c

+c

+cx

xx

x+d)

+d)

+d)

+d)

CubicReg

(cubic regression) fits the third-degree polynomial y=ax

3

+bx

2

+cx+d to the

data. It displays values for

a

,

b

,

c

, and

d

; when

DiagnosticOn

is set, it also displays a

value for

R

2

. For four points, the equation is a polynomial fit; for five or more, it is a

polynomial regression. At least four points are required.

CubicReg

[

Xlistname,Ylistname,freqlist,regequ

]

QuartReg—(a

QuartReg—(a

QuartReg—(a

QuartReg—(ax

xx

x

4

+b

+b

+b

+bx

xx

x

3

+c

+c

+c

+cx

xx

x

2

+ dx+e)

+ dx+e)

+ dx+e)

+ 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.

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