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HP 48G Series User Manual

HP 48G Series
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Lesson
32:
Regression
Analysis
of
Paired
Data
The
HP
48
can
fit
any
one
of
four
statistical
models
to
a
set
of
data
pairs.
Once
again
the
data
must
be
in
the
¥
DAT
matrix.
Example:
Using
the
same
data
as
the
previous
example,
calculate
the
correlation
and
covariance
between
the
CPI
and
PPI
variables
using
the
best-fitting
regression
model
(of
the
four
available).
Then
predict
the
PPI
value
for
a
CPI
value
of
8.5
using
the
calculated
model.
Step
1:
Open
the
STAT
application
and
select
Fit
@®C)
OO
ok
FHFIT
DATA
SE
DAT:
w-coL:
i
wero:
2
MODEL:
Linear
Fit
ENTER
STATISTICAL
DATA
TCT
(RTT
I
WT
(TT
TA
Step
2:
Check
your
regression
options.
The
correct
data
is
in
XDAT
already.
The
two
variables
that
you
wish
to
compare,
CPI
and
PPI,
are
located
in
columns
1
and
2
of
¥DAT,
respectiy
ely,
so
make
sure
that
#-i{iL.&
contains
1
and
Hs
contains
Z.
Change
the
regression
model
type
to
WM
(VW)
CHOOSE
(A)
GE
FIT
DATA
SE
T0AT:
[[L
9.1
9.21
[
.
H-coL:
1
v-cOL:
2
MODEL:
[SIE
A
A
CHOOSE
STATISTICAL
MODEL
|
[cHoo:[
[PRED
[cami]
OK
Calculus,
Statistics
and
Advanced
Mathematics
7-9

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HP 48G Series Specifications

General IconGeneral
ModelHP 48G Series
TypeGraphing Calculator
Display TypeLCD
Display Size131x64 pixels
Programming LanguageRPL (Reverse Polish Lisp)
Memory32 KB RAM
ProcessorSaturn
Power Supply3x AAA batteries
ConnectivityInfrared (IR)

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