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5. Repeat steps 3 and 4 for each data pair. If you discover that you have made
an error after you have pressed
visible), press
to undo (remove) the last data pair. If you discover that you made an error after
step 4, press
6. After all data are keyed in, press
¥
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
10. If you wish to estimate
¥
press
to see
11. If you wish to estimate
prompt, key in y, then press
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.
Y
The y–value of a data pair when entering data; the hypothetical y
when projecting
x.
i
Index variable used to indirectly address the correct
y ˆ
–projection equation.
Statistics registers Statistical accumulation and computation.
Example 1:
Fit a straight line to the data below. Make an intentional error when keying in the
third data pair and correct it with the undo routine. Also, estimate y for an x value
of 37. Estimate x for a y value of 101.
16–8
Statistics Programs
File name 33s-E-Manual-1008-Publication(1st).doc
Printed Date : 2003/10/8
¥
¥
again (displaying the value prompt) and press
t
U. In either case, continue at step 3.
t
y ˆ
based on x, key in x at the value prompt, then
y ˆ
( ).
x ˆ
based on y, press
¥
to see
y ˆ
x ˆ
; or
x ˆ
y ˆ
; or
Size : 13.7 x 21.2 cm
in step 3 (with the value prompt still
R to see the correlation coefficient, R.
y ˆ
x ˆ
,
–estimation routine.
¥
until you see the value
x ˆ
( ).
(x–estimate) when given a hypothetical
(y–estimate) when given a hypothetical
Page : 386
t
U
x ˆ
–,
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