Casio CFX-9800G-w Owners Manual - Page 70

Casio CFX-9800G-w - Color Graphing Calculator Manual

Page 70 highlights

Theunit uses the following value memories to store values. Do not use these memories for storageif you plan to perform statistibal operations. Value MeMory P O R U. . V W Statistical Data Eye Ey Exy Ex2 Ex n . •Linear Regression The linear regression formula is defined as y=A+ Bx. • To input data for linear regression Example 1 To input the data 10/20, 20/30, 20/30, 40/50 CIILI(Sc0lD 10E(,)20E(DT) 20CI(,)30E(DT) D(DT) 40I(,)50 BB Example 2 To input the data 10/20 20/30,20/30, 20/30, 20/30, 20/30, 40/50 10E(,)20CI(DT) 20Eff,)30 EI5E(DT) 40E(,)50ILI(DT) Note that you can input multiple data pairs by entering the data, pressing and then entering the number of data pairs. • To delete data Example 1 Data input,sequence: 10E(,)401D(DT) 20E(,)201D(DT) 30E(,)30B(DT) 401L1(,)501D(DT) To delete the 40E(,)50E(DT) (last data pair entered), press E(CL). Example 2 Data input sequence: 1915(,)40E(DT) 2og(,)20E(DT) 30g(,)301:1(DT) , 40E1(,)50 To delete the 40Eff,)50, press m. Example 3 Data input sequence: 10E(,)40E(DT) 20C1(,)20E(DT) 30E(,)305(DT) 40E(,)501E(DT) To delete the 20E(,)20C(DT), enter 2000(,)20 -104- ELogaritinnic Regression The logarithmic regression formula is defined as y=A+ B•Inx. • To input data for logarithmic regression Input data using the same procedures as described for linear regression on page 104. • To delete data Delete data using:the same procedures as described for linear regression on page 104. The following shows the difference between linear regression results and logarithmic regression results. Linear Regression Logarithmic Regression Ex Elnx Ex2 E(Inx)2 Exy Elnxi •Exponential Regression The exponential regression formula is defined as y = fort (iny=lnA+ Bx). • To input data for exponential regression Input data using the same'procedures as described for linear regression on page104. • To delete data Delete data using the same procedures as described for linear regression on page 104. The following shows the difference between linear regression results and exponential regression results. Linear Regression Exponential Regression Ey Elny Ey e E(Iny)2 Exy Ex.lny -105-

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The
unit
uses
the
following
value
memories
to
store
values.
Do
not
use
these
memories
for
storage
if
you
plan
to
perform
statistibal
operations.
Value
MeMory
P
O
R
U
.
.
V
W
Statistical
Data
Eye
Ey
Exy
Ex
2
Ex
n
.
•Linear
Regression
The
linear
regression
formula
is
defined
as
y=A+
Bx.
To
input
data
for
linear
regression
To
input
the
data
10/20,
20/30,
20/30,
40/50
Example
1
Example
2
CIILI(Sc0lD
10E(,)20E(DT)
20CI(,)30E(DT)
D(DT)
40I(,)50
BB
To
input
the
data 10/20
20/30,20/30,
20/30, 20/30, 20/30,
40/50
10E(,)20CI(DT)
20Eff,)30
EI5E(DT)
40E(,)50ILI(DT)
Note
that
you
can
input
multiple
data
pairs
by
entering
the
data,
pressing
and
then
entering
the
number
of
data
pairs.
To
delete
data
Example
1
Data
input,
sequence:
10E(,)401D(DT)
20E(,)201D(DT)
30E(,)30B(DT)
401L1(,)501D(DT)
To
delete
the
40E(,)50E(DT)
(last
data
pair
entered),
press
E(CL).
Data
input
sequence:
1915(,)40E(DT)
2og(,)20E(DT)
30g(,)301:1(DT)
,
40E1(,)50
To
delete
the
40Eff,)50,
press
m.
Example
2
Example
3
Data
input
sequence:
10E(,)40E(DT)
20C1(,)20E(DT)
30E(,)305(DT)
40E(,)501E(DT)
To
delete
the
20E(,)20C(DT),
enter
200
0
(,)20
ELogaritinnic
Regression
The
logarithmic
regression
formula
is
defined
as
y=A+
B•Inx.
To
input
data
for
logarithmic
regression
Input
data
using
the
same
procedures
as
described
for
linear
regression
on
page
104.
To
delete
data
Delete
data
using:the
same
procedures
as
described
for
linear
regression
on
page
104.
The
following
shows
the
difference
between
linear
regression
results
and
logarithmic
regres-
sion
results.
Linear
Regression
Logarithmic
Regression
Ex
Elnx
Ex
2
E(Inx)
2
Exy
Elnxi
•Exponential
Regression
The
exponential
regression
formula
is
defined
as
y
=
fort
(iny=lnA+
Bx).
To
input
data
for
exponential
regression
Input
data
using
the
same'procedures
as
described
for
linear
regression
on
page
104.
To
delete
data
Delete
data
using
the
same
procedures
as
described
for
linear
regression
on
page
104.
The
following
shows
the
difference
between
linear
regression
results
and
exponential
regression
results.
Linear
Regression
Exponential
Regression
Ey
Elny
Ey
e
E(Iny)
2
Exy
Ex.lny
—104—
-105-