HP 33s hp 33s_user's manual_English_E_HDPM20PIE56.pdf - Page 268

HP 33s - Scientific Calculator Manual

Page 268 highlights

5. Repeat steps 3 and 4 for each data pair. If you discover that you have made an error after you have pressed g in step 3 (with the &@value prompt still visible), press g again (displaying the %@value prompt) and press X U to undo (remove) the last data pair. If you discover that you made an error after step 4, press X U. In either case, continue at step 3. 6. After all data are keyed in, press X R to see the correlation coefficient, R. 7. Press g to see the regression coefficient B. 8. Press g to see the regression coefficient M. 9. Press g to see the %@value prompt for the xˆ , yˆ -estimation routine. 10. If you wish to estimate yˆ based on x, key in x at the %@value prompt, then press g to see yˆ (&@). 11. If you wish to estimate xˆ based on y, press g until you see the &@value prompt, key in y, then press g 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 M R X Y i Statistics registers Regression coefficient (y-intercept of a straight line); also used for scratch. Regression coefficient (slope of a straight line). Correlation coefficient; also used for scratch. The x-value of a data pair when entering data; the hypothetical x when projecting yˆ ; or xˆ (x-estimate) when given a hypothetical y. The y-value of a data pair when entering data; the hypothetical y when projecting xˆ ; or yˆ (y-estimate) when given a hypothetical x. Index variable used to indirectly address the correct xˆ -, yˆ -projection equation. Statistical accumulation and computation. 16-8 Statistics Programs

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16–8
Statistics Programs
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.
If 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); also
used for scratch.
M
Regression coefficient (slope of a straight line).
R
Correlation coefficient; also used for scratch.
X
The
x
–value of a data pair when entering data; the
hypothetical
x
when projecting
y
ˆ
; or
x
ˆ
(
x
–estimate)
when given a hypothetical
y
.
Y
The
y
–value of a data pair when entering data; the
hypothetical
y
when projecting
x
ˆ
; or
y
ˆ
(
y
–estimate)
when given a hypothetical
x
.
i
Index variable used to indirectly address the correct
x
ˆ
–,
y
ˆ
–projection equation.
Statistics registers
Statistical accumulation and computation.