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September 29, 2005
Football Log
. regress attendance wins
Source | SS df MS Number of obs = 30
-------------+------------------------------ F( 1, 28) = 6.61
Model | 3.7518e+10 1 3.7518e+10 Prob > F = 0.0157
Residual | 1.5889e+11 28 5.6746e+09 R-squared = 0.1910
-------------+------------------------------ Adj R-squared = 0.1621
Total | 1.9641e+11 29 6.7726e+09 Root MSE = 75330
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attendance | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
wins | 12352.97 4804.158 2.57 0.016 2512.096 22193.84
_cons | 392509.8 40518.55 9.69 0.000 309511.3 475508.2
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. regress attendance wins losses
Source | SS df MS Number of obs = 30
-------------+------------------------------ F( 2, 27) = 5.50
Model | 5.6848e+10 2 2.8424e+10 Prob > F = 0.0099
Residual | 1.3956e+11 27 5.1688e+09 R-squared = 0.2894
-------------+------------------------------ Adj R-squared = 0.2368
Total | 1.9641e+11 29 6.7726e+09 Root MSE = 71895
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attendance | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
wins | -61923.24 38681.87 -1.60 0.121 -141291.9 17445.4
losses | -74803.57 38681.87 -1.93 0.064 -154172.2 4565.08
_cons | 1575209 612810.3 2.57 0.016 317826.5 2832592
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. regress attendance
Source | SS df MS Number of obs = 30
-------------+------------------------------ F( 0, 29) = 0.00
Model | 0 0 . Prob > F = .
Residual | 1.9641e+11 29 6.7726e+09 R-squared = 0.0000
-------------+------------------------------ Adj R-squared = 0.0000
Total | 1.9641e+11 29 6.7726e+09 Root MSE = 82296
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attendance | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_cons | 490510 15025.14 32.65 0.000 459780.1 521239.8
------------------------------------------------------------------------------
. - preserve
. log close
log: T:\170-temp\football1.log
log type: text
closed on: 29 Sep 2005, 12:04:56
Posted by bparke at September 29, 2005 03:00 PM