------------------------------ Logistic Regression -------------------------------

Dependent Y: Hall

Cases with Y=0: 161 88.95%

Cases with Y=1: 20 11.05%

Total Cases: 181

Explanatory Model

Hall = Constant + CAVG + 100RBI + ALLSTAR + PA + MVP + WSIMP + 3000 HIT

+ C + e

Model Fit Statistics

Initial -2 Log Likelihood 125.814

Model -2 Log Likelihood 14.101 Iteration (13)

Cox & Snell Rsq 0.461

McFadden Rsq 0.888

Model Chi-Square 111.714 df 8 p< 0.0000

Coefficients

Variable b Coeff. SE Wald p < OR

----------------------------------------------------------------------------------

Constant -46.1955 25.9437 3.1706 0.0750

CAVG 67.8167 59.7693 1.2874 0.2565 2.834029E+29

100RBI 0.5658 0.3691 2.3501 0.1253 1.7608

ALLSTAR 1.3861 0.5896 5.5277 0.0187 3.9992

PA 0.0013 0.0009 2.2006 0.1380 1.0013

MVP 0.3645 1.1868 0.0943 0.7587 1.4399

WSIMP 0.0001 0.0249 0.0000 0.9963 1.0001

3000 HIT 14.9332 169.5358 0.0078 0.9298 3057919.4303

C 3.5857 2.9838 1.4441 0.2295 36.0785

----------------------------------------------------------------------------------

Estimated Model

Hall = -46.1955 + 67.8167(CAVG) + .5658(100RBI) + 1.3861(ALLSTAR) + .0013(PA)

+ .3645(MVP) + .0001(WSIMP) + 14.9332(3000 HIT)

+ 3.5857(C)

Classification Table (.50 cutpoint)

Predicted Y

Observed Y 0 1 % Correct

+-----------+-----------+

0 | 159 | 2 | 98.76

+-----------+-----------+

1 | 0 | 20 | 100.00

+-----------+-----------+----------

Total 98.90