HP 32Sii HP 32Sii RPN Scientific Calculator - (English) Owner Manual - Page 272

Memory Required, Program instructions, Variables Used

Page 272 highlights

Memory Required: 270 bytes: 174 for program, 96 for data (statistic. registers 48). Program instructions: 1. Key in the program routines; press † when done. 2. Press W and select the type of curve you wish to fit by pressing: S for a straight line; L for a logarithmic curvy.; E for an exponential curve; or P for a power curve. 3. Key in x-value and press f. 4. Key in y-value and press f. 5. Repeat steps 3 and 4 for each data pair. If you discover that you have made an error after you have pressed f in step 3 (with the &@value prompt still visible), press f again (displaying the %@value prompt) and press W U to undo (remove) the last data pair. If you discover that you made an error after step 4, press W U. In either case continue at step 3. 6. After all data are keyed in, press W R to see the correlation coefficient, R. 7. Press f to see the regression coefficient B. 8. Press f to see the regression coefficient M. 9. Press f to see the %@value prompt for the xˆ , yˆ -estimation routine. 10.ff you wish to estimate yˆ based on x, key in x at the %@value prompt, then press f to see yˆ (&@). 11. If you wish to estimate xˆ based on y, press f until you see the &@value prompt, key in y, then press f to see xˆ (%@). 12. For more estimations, go to step 10 or 11. 13. For a new case, go to step 2. Variables Used: B Regression coefficient (y-intercept of a straight line); 16-8 Statistics Programs File name 32sii-Manual-E-0424 Printed Date : 2003/4/24 Size : 17.7 x 25.2 cm

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16–8 Statistics Programs
File name 32sii-Manual-E-0424
Printed Date : 2003/4/24
Size : 17.7 x 25.2 cm
Memory Required:
270 bytes: 174 for program, 96 for data (statistic. registers 48).
Program instructions:
1.
Key in the program routines; press
when done.
2.
Press
and select the type of curve you wish to fit by pressing:
±
S for a straight line;
±
L for a logarithmic curvy.;
±
E for an exponential curve; or
±
P for a power curve.
3.
Key in
x
–value and press
.
4.
Key in
y
–value and press
.
5.
Repeat steps 3 and 4 for each data pair. If you discover that you have
made an error after you have pressed
in step 3 (with the
value
prompt still visible), press
again (displaying the
value
prompt)
and press
U to
undo
(remove) the last data pair. If you discover that
you made an error after step 4, press
U. In either case continue at
step 3.
6.
After all data are keyed in, press
R to see the correlation coefficient,
R
.
7.
Press
to see the regression coefficient
B
.
8.
Press
to see the regression coefficient
M
.
9.
Press
to see the
value
prompt for the
x
ˆ
,
y
ˆ
–estimation routine.
10.
ff you wish to estimate
y
ˆ
based on
x
, key in
x
at the
value
prompt,
then press
to see
y
ˆ
(
).
11.
If you wish to estimate
x
ˆ
based on
y
, press
until you see the
value
prompt, key in
y
, then press
to see
x
ˆ
(
).
12.
For more estimations, go to step 10 or 11.
13.
For a new case, go to step 2.
Variables Used:
B
Regression coefficient (
y
–intercept of a straight line);