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
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
ˆ
,
ˆ
–estimation routine.
10. If you wish to estimate
ˆ
based on x, key in x at the
%@
value
prompt, then
press
g
to see
ˆ
(
&@
).
11. If you wish to estimate
ˆ
based on y, press
g
until you see the
&@
value
prompt, key in y, then press
g
to see
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
ˆ
; or
ˆ
(x–estimate)
when given a hypothetical
y.
Y The y–value of a data pair when entering data; the
hypothetical
y when projecting
ˆ
; or
ˆ
(y–estimate)
when given a hypothetical
x.
i Index variable used to indirectly address the correct
x
ˆ
–,
ˆ
–projection equation.
Statistics registers
Statistical accumulation and computation.
