Casio CFX-9800G-w Owners Manual - Page 74

gREGEA, fllEi, 18ocog

Page 74 highlights

•Regression The following are the formulas the unit uses to calculate constant term A and regression coefficient B for the regression formula y=k+Bx. A= Ey -B-Ex n B= n-Exy-ErEy . . n•Ex2 -(£x)2 The following is the formula the unit uses to calculate correlation coefficient r and estimated' values of x and y. r= n•Exy-Ex•Ey -jEn•Ex -(Ex)21 [n•Ey2 -(Ey) 9=A+Bx y- A B ELinear Regression Example *Relationship between temPerature and the length of " a steel bar. Temperature Length 10°C 1003mm 15°C 1005mm 20°C 1010mm 25°C - 1011mm 30°C 1014mm The data in the above table can be used to obtain the terms of the regression formula and the correlation coefficient. Based on the regression formula, the estimated length,of the steel bar at 18°C and the temperature when the bar is 1000 mm long can be calculated. The critical coefficient (r2) and covariance (Exy-n-.1-.17 ) n-1 can also be calculated. Operation, Ea (SET) (DE(NON) OECDgiD(Scl)CI .(Clears memory) 10E(,)10030(DT) 15El(,)1005EI(En 20E(,)1010E1(DT) 25®(,)1011 Ft 30E(,)1014E(DT) g(R(CEonGst)aEnt (tAerm) A) fllEi (Regression coefficient B) F2 (B) (Correlation coefficient r)EINID 18ocog (Length at 18°C) Po (Temperature at 1000mm) ,.1000 (Critical coefficient) (Covariance) CIIMIERE) (EXYA:l D(8)CIME(DEV)ID(Tc) Irag(7)WOCIDEIME) F3(n)01Ulg Display 10 15 20 25 30 997.4 0.9826073689 1007.48 4.642857143 0.9655172414 35 -1 12- •Logarithmic Regression •The logarithmic regression formula is y=A+B•Inx. •Ex, Ex2, and £xy are obtained as Elnx, E(Inx)2, and Elnry respectivelY. . i Example xi yi 29 1.6 50 23.5 74 38.0 103 46.4 118 48.9 The data in the above table cad be used to obtain the terms of the regression formula and the correlation, coefficient. Based on the regression formula, estimated value 9 can be obtained for xi= 80, and estimated value R can be obtained for yi= 73. Operation -e-a,rEi SET) F2 min crs '"(Clears memory) 29E1(,)1.6E(DT) 50EI(,)23.5E(DT) 74g(,)38.0E(DT) 103®(,)46.4 Ft 11817)(,)48.9E(DT) (Constant term A) CffREG)CI(A)E F2 (B) (Regression coefficient B) (Correlation coefficient r) ENE) (9 when xr = 80) BOEL111g (Xi- when yi= 73) 73g(2)g ..Display 3.36729583 3.912023005 4.304065093 4.634728988 4.770684624 -111.1283976 34.0201475 0.9940139466 37.94879482 224.1541313 -113-

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•Regression
The
following
are
the
formulas
the
unit
uses
to
calculate
constant
term
A
and
regression
coefficient
B
for
the
regression
formula
y=k+Bx.
A=
Ey
-B-Ex
B=
n-Exy—ErEy
n
.
.
n•Ex
2
—(£x)
2
The
following
is
the
formula
the
unit
uses
to
calculate
correlation
coefficient
r
and
estimated'
values
of
x
and
y.
r=
n•Exy—Ex•Ey
-jEn•Ex
—(Ex)
2
1
[n•Ey
2
—(Ey)
y—
A
B
9=A+Bx
ELinear
Regression
Example
Operation,
Display
*Relationship
between
tem-
Perature
and
the
length
of
"
a
steel
bar.
Temperature
Length
10°C
1003mm
15°C
1005mm
20°C
1010mm
25°C
-
1011mm
30°C
1014mm
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,
the
esti-
mated
length,of
the
steel
bar
at
18°C
and
the
temperature
when
the
bar
is
1000
mm
long
can
be
calculated.
The
critical
coefficient
(r
2
)
and
covariance
(Exy—n-.1-.1
7
)
n-1
can
also
be
calculated.
OECD
Ea
(SET)
(DE(NON)
giD(Scl)CI
.(Clears
memory)
10E(,)10030(DT)
15El(,)1005EI(En
20E(,)1010E1(DT)
25®(,)1011
Ft
30E(,)1014E(DT)
(Constant
term
A)
g(REG)E(A)
fllEi
(Regression
coefficient
B)
F2
(B)
(Correlation
coefficient
r)EINID
(Length
at
18°C)
18ocog
(Temperature
at
1000mm)
,.1000
Po
(Critical
coefficient)
(Covariance)
CIIMIERE)
(EXYA:l
D(8)CIME(DEV)ID(Tc)
Irag(7)WOCIDEIME)
F3(n)01Ulg
10
15
20
25
30
997.4
0.9826073689
1007.48
4.642857143
0.9655172414
35
•Logarithmic
Regression
•The
logarithmic
regression
formula
is
y=A+B•Inx.
•Ex,
Ex
2
,
and
£xy
are
obtained
as
Elnx,
E(Inx)
2
,
and
Elnry
respectivelY.
.
i
Example
Operation
..Display
xi
yi
29
1.6
50
23.5
74
38.0
103
46.4
118
48.9
The
data
in
the
above
table
cad
be
used
to
obtain
the
terms
of
the
regression
for-
mula
and
the
correlation,
coefficient.
Based
on
the
regression
formula,
estimat-
ed
value
9
can
be
obtained
for
xi=
80,
and
estimated
value
R
can
be
obtained
for
yi=
73.
ear
--,Ei
SET)
F2
crs
'"(Clears
memory)
29E1(,)1.6E(DT)
50EI(,)23.5E(DT)
74g(,)38.0E(DT)
103®(,)46.4
Ft
11817)(,)48.9E(DT)
(Constant
term
A)
CffREG)CI(A)E
(Regression
coefficient
B)
F2
(B)
(Correlation
coefficient
r)
ENE)
(9
when
xr
=
80)
BOEL1
1
1g
(Xi
-
when
yi=
73)
73g(2)g
min
3.36729583
3.912023005
4.304065093
4.634728988
4.770684624
-111.1283976
34.0201475
0.9940139466
37.94879482
224.1541313
-1
12-
-113-