Casio fx-4200P

«Logarithmic
Regression)
E
j
-
«The
calculator
uses
the
formula
y
=
A+B-
inx
for
logarithmic
regression.
xample
Operation
Dispiay
«Data
Input
=7(S}—-
“LR”
@
Press
(0)(Z)
to
enter
the
LR
mode.
Gur)
ead
@Press
G9
to
clear
the
statistical
memories.
Enter
each
data
item,
using
the
following
sequence:
{in}
29
Gee)
(+)
1.6
BF
3.36729583
(i)
(X-DATA)
GENCE)
(Y-DATA)
bo.
in)
50
8)
23.5
OF
3.912023005
*You
can
enter
identical
data
items
using
the
same
two
procedures
described
for
linear
in)
74
GF]
38.0
67)
regression,
but
you
must
always
press
the
{In}
key
before
entering
the
X-DATA.
pnieeiede
nS
Spepenee
I}
KIL
J
46.4
[DT
.634728988
fin)
118
S8])
48.907)
4.770684624
*Deleting Entered Data
To
delete
entered
data,
use
the
same
procedures
described
for
linear
regression,
but
remember
to
always
press
the
{in}
key
before
entering
X-DATA.
To
perform
logarithmic
(Constant
term
A)
GD
(A)
Be
—111.1283976
eCalculations
fe
devant
te
above
data
(Fidgisesioa’Soatticibrt
B)
;
The
following
table
shows
the
results
produced
by
each
key
operation:
formula
Aas
he
Son
esion,
Sut)
(8
)
(Oe)
34.02014748
Key
Operation
Result
coefficient.
Then
use
the
Comision
"marries
regression
formula
to
esti-
saieT}
[tJ
exe
0.9940139464
(cra
eA
3
Constant
term
A
@=-@
mate
§
when
xi=
80
and
<
(f
when
xi
=
80)
Regression
coefficient
B
@-@
when
yi=73.
(in)
80
KA
ES
37.94879482
vanameae
o-6
7IEOQGSES
|
224.1541914
fixe)
ee
Estimated
value
of
y
B-e8
=
If
we
assume
that
Inx=.,
the
logarithmic
regression
formula
y=
A+
B-Inx
becomes
the
linear
regression
formula
y=
a
+
bx.
Therefore,
the
formulas
for
constant
term
A,
regres-
sion
coefficient
8
and
correlation
coefficient
r
are
identical
for
logarithmic
and
linear
regression.
A
number
of
logarithmic
regression
calculation
results
differ
from
those
produced
by
linear
regression.
Note
the
following:
Linear
regression
|
Logarithmic
regression
Lx
Linx
Lx?
L(inx)
Uxy
Linxey
-49-
“_sg-