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Data
Input
Precautions
•
(H) (SJ inputs
the
same
data
twice.
•
You
can
also input
multiple entries of the
same
data us-
ing
B
CD.
To
input
the
data
1
1
0
ten times,
for
example,
press
110
BCD
1013.
•
The above
results
can be
obtained
in
any
order,
and
not
necessarily that
shown
above.
•
To
delete
data
you have
just input, press.
S
CsD.
Regression
Calculations
(REG
Mode)
•
Press
B B
CD
(fx-85W)
to
enter the
REG
mode
and
then
select
one
of
the
following
regression
types.
For
other
models, press
B
GD.
CD:
Linear regression
CD:
Logarithmic regression
CD:
Exponential regression
(BCD:
Power
regression
QE)
CD:
Inverse regression
GE
GD:
Quadratic regression
•
Data
input
always
starts
with
B
dD
B
to
clear
statisti-
cal
memory.
•
The
values
produced by a
regression
calculation
depend
on
the
values
input,
and
results
can be
recalled
using
the
key operations
shown
in
the table below.
©CD
Zx
2
B
B
SID
CD
Zx
b
gd
V
(mTJCD
n
B®
J*.
(mi)
qq
Iv
2
sb
SE3CE3
Zy
BCD
Regression
coefficient
A
S3 CD
Zxv
BCD
Regression
coefficient
B
GsDCE)
I*
3
Regression
coefficient
C
GeDCD
X**y
©CD
Correlation
coefficient
r
GsD
CD.
£x*
BCD
em
Jt
bcs
b®
.
»20«
Data
Input
Precautions
•
S3 S3
inputs the
same
data
twice.
•
Yqu
^^°
N**
multiple entries of
the
same
data us-
ing
S
CD/Tb
input
the data
110
ten times,
for
example,
press 110
SCO
10
S3.
•
The above
results
can be
obtained
inany
order,
and
not
necessarily
that
shown
above.
'
•
To
delete
data
you have
just
input press
B
GOD.
Regression
Calculations
(REG
Mode)
-
•
Press
S S
S3
(fx-85W)
to
enter the
REG
mode
and
then
select
one
of
the
following .regression types.
For
other
models, press
B
GD.
"'..*"
CD:
Linear regression
GD:
Logarithmic regression
CD:
Exponential regression
(BCD:
Power
regression
GE3
CD?
Inverse regression
(B
CD:
Quadratic regression
•
Data
input
always
starts
with
B
(ED
B
to
dear
statisti-
cal
memory.
•
The
values
produced by a
regression
calculation
depend
on
the values
input,
and
results
can be
recalled
using
•
the
kev
onerations
shown
in
tna
taKi
A
k^w.
(ED
CD
I
213
BS
(59
GD
Zx
bcd
BOD
n
'
®
®
BGD
Zv
2
B
B
BCD
2v
bcd
Regression
coefficient
A
BCD
Zxy
bcd
Regression
coefficient
B
BGD
Lx
3
sen
Regression
coefficient
C
BCD
Zx*y
bcd
Correlation
coefficient
r
Zx
4
BCD
i
BSD
bce
bb
•20*
•
Linear
Regression
The
regression formula
for linear
regression
is:
v
« A
+
Bx.
•
Example: Atmospheric
Pressure
vs.
Temperature
Perform
linear
regression
to
deter-
mine
the regression formula terms
and
correlation coefficient
for
the
dat^€ajt>:NeAt;
lasa
ther^.*,*
siori
formula
to
estimate
atmos-
pheric
pressure
at
18°C and
tem-
perature
at
1000
hPa.
Temperature
Atmospheric
Pressure
10°C
1003
hPa
15°C
.1005
hPa
2G-*G-
-1
010
hrtT
25°C
1011
hPa
30°C
1014
hPa
Enter
REG
Mode
(Linear
Regression)
fx-85W:BBCDCD
Other models:
S
CD CD
@
GEO
B
(Memory
Clear)
10(ZJ1003(I3
15GD1005 S3
20CD
1010(13 25(Z]1011(13
30
GD
101
4
S3
30.
(Regression
Coefficient
A)
(Regression
Coefficient
B)
(Correlation Coefficient
r)
(Atmospheric Pressure
at
irq
18
@
CD
I
997.4
BI2B[
bcdbQ
BCDB
I
0.982607368
(Temperature
at
1000
hPa)
1
000
B
23
[
4.642857143
0.56
I
1007.48
•
Quadratic
Regression
'
•
The
regression
formula
for
quadratic regression
is:
vaA
+ av+Gv*.
•
Input
data using the
following
key sequence.
<v-data>
CD
<v-data>
13
•
Linear
Regression
The
regression formula
for linear
regression
is:
y
*
A
-f
Br.
•
Example:
Atmospheric Pressure
vs.
Temperature
Perform
linear
regression
to
deter-
mine
the regression formula terms
and
correlation coefficient
for
the
data
nearby. Next,
use
the regres-
sion
formula
to
"estimate
atmos-
pheric
pressure
at
18°C and tem-
perature
at
1000
hPa.
Temperature
10°C
^Pressure*
0
1003
hPa
15*C
1005
hPa
20»G-
25*C
*
1010
frPa
.
1011
hPa
30°C
1014 hPa
Enter
REG
Mode
(Linear
Regression)
fx-85w:
e S
CD CD
Other models:
B
GD CD
S
(ED
B
(Memory
Clear)
10CD1003I13 15CD1005(I3
20GD
1010
S3
25(131011(13
3oG3iOH(I3
KG
30.
SQB
bcdsI
(Temparalureat
lOOOhPa)
1000
B
CD
I
4*642857143
997.4
(Regression
Coefficient
A)
(Regression
Coefficient
B)
(Coirelaiic«
Coefficient)
B
CD
B
|
0.98260736^1
0.56
(Atmospheric Pressure
at
18*C)
18BCS
|
1007.48"
•
Quadratic Regression
•
The
regression formula
for
quadratic regression
is:
y
»
A
+
Ox
+G«*.
'
•
input
data using the
following
key sequence.
<r-data>
CD
<v-data>
13
•21
21
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