In sci.geo.meteorology Marvin wrote:
Brian Sandle wrote in
:

year flights ozone
84 5 324
85 9 303
86 2 305
87 0 307
88 2 305
89 5 311

Through 4 years from 86 to 89 the average was only baout 2 flights
per year and the level recovered a bit.

[snippage of some very long-winded drek]
There is a bit much work in it for me, but a partial correlation
could be done with rocket launches (R) solar activity (S) and ozone
level (O).

If the partial correlation between S and O partialling out R is no
different from the non-partial correlation of S and O, then R could
be assumed less likely to be causal.

Lets talk about correlations, and trying to calculate interdependencies
when you have a dataset of 6 points.

I took the shuttle flight count, and let it ferment a bit in my local
events database. After a while, i found this *perfect* match.
Glenlea Primary school, soccer wins for the B-team.
year Goals
1983 6
1984 5
1985 9
1986 2
1987 0
1988 2
1989 5

According to your excellent logic, the rate of shuttle flights not only
affects the ozone concentration, but also THE PERFORMANCE OF LOCAL
SCHOOLKIDS!

I didn't say affects, I said correlated. Then look for any cause. In terms of
affecting in your example goals is not wins as both sides might vary. I don't
know if sunspots affect concentration in such a way as to worsen attack or
defense more than the other. A lot of things are correlated to solar
activity.

Surely this must be some nefarious plot, as the facts speak for themselves!
How else could there possibly be such a perfect correlation between the
shuttle flight tempo and the games won per year?

Do us all a favor, and chill a bit.

It looks like chilling of the stratosphere could be a problem of water the
rockets
put there.

And remember that 6 data points is NOT
enough to run a statistical correlation test with any level of accuracy.

That small dataset was my reply to the question about the crash time.

The data I used was:

year flights ozone

80 0 324.00
81 2 323.77
82 3 323.19
83 5 323.92
84 5 323.55
85 9 303.10
86 2 312.27
87 0 306.91
88 2 305.31
89 5 311.35
90 6 303.19
91 6 312.40
92 8 308.49
93 7 301.23
94 7 310.12
95 6 305.86
96 7 306.88
97 8 291.31
98 5 302.63
99 3 292.26
00 5 300.25
01 5 304.91


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