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FIGURE 9.25
Extra command in SPSS to obtain conidence interval for intercept/constant and slope;
illustrative data.
Now the output looks like
Figure 9.26
, the same as in
Figure 9.24
, except for the
added conidence intervals for the intercept and slope, as circled in
Figure 9.26
. The
values, of course, are the same values we obtained in the Excel output.
9.5
LINEAR REGRESSION ANALYSIS OF BEHEMOTH.COM
DATA
OK, we're inally ready to apply our linear regression technique to the 180 data
points of the Behemoth.com data (see
Figure 9.10
). Applying the same steps
we used for the sample data to the Behemoth data, we get the results shown in
Figure 9.27
.
We can see that, of course, the correlation is the same as it was in the correlation
analysis section: 0.449.
The best-itting (i.e., least-squares) line is (see circle in
Figure 9.27
):
Yc=2
.
456+0
.
460*X
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