Casio CFX-9800G - Page 75

MExponential Regression
The
exponential
regression
formula
is
p=
Ave®
(Iny=
n+
Bx).
«zy
is
obtained
as
Einy,
=
as
zeny),
‘and
Exy
as
Lxelny.
‘Display
Example
“Operation
xi
vie
™:
(FB)(SET)ES(EXP)
6.9
21.4
ENON)
BH
|
:
3
‘Gur
CH)
F2)
(Sc!)
BED
|
a
bea
~
(Clears
EaISeh}
as
H
ae
eee
6.9(3\(,)21.4(DT)
6.9
26.7
85.
:
nae
35.1
"62
12.963)(,)15.7E9(0T)
2.
19.8(63)(,)12.1
(07)
,
19.8
The
data
in
the
above
table’
26.7(3)(,)8.59(DT)
;
26.7
can
be
used
to
obtain.
the
~,
35.1
@(,)5.2E07
|
%
*
954
terms of the regression for-
mula and the correlation ©‘
coefficient. Based on the
regression formula, estimat-
ed value § can be obtained
for xi= 16, and estimated
value £ can be obtained fet
yi=20,
(Constant term’ A)
- FR(REG) EA) ES
» (Regression coefficient B)
Bee |
(Correlation coefficient 7)
BNE
(9 when xi= 16) 16€5)(9)&@)
(& when yi=20) 2054) (2) E38)
*:30.49758743
“29.04920370831
—0.997247352
13.87915739
8.574868047
—H4—
:
MPower Regression
*The
power
regression
formula
is
y=A+x®
(Iny=InA+
Binx).
*Zx
is
obtained
as
Linx,
Lx?
as
L(Inx)?,
Ly
as
Ziny,
Ly*
as
L(Iny)?,
and
Uxy
as
Linxelny.
Example
Operation
Display
xi
vi
F
ST
nen
28
2410
F2)(NON)
30
3033
GCF
(Sc)
eye
33
3895
(Clears
memory)
35
4491
2863)(,)2410F)(0T)
3.33220451
38
5717
3063)\(,)30339(DT)
3.401197382
The data in the above table
can be used to obtain the
terms of the regression for-
‘mula and the correlation
coefficient. Based on the
regression formula, estimated
value § can be obtained for
xi=40, and estimated value <
can be obtained for yi= 1000.
3305)(,)3895E(0T)
35((,)4491 F(07T)
38(3\(,)5717()(D7)
(Constant term A)
F6)(REG) F(A) G3)
(Regression coefficient 8)
EB)e)
{(Corretation coefticient r)
FN(r)ea
{9 when xi= 40) 40(F5)($) 6a
(¥ when yi= 1000)
1000642)
3.496507561
3.555348061
3.63758616
0.2388010685
2.771866158
9.9989062551
6587.674589
20,.26225681
—H5—
4340087-13