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Datasets and Stories

Punching a Ticket to Cooperstown

Figures & data

Table 1 Description of variables.

Table 2 Summary statistics.

Table 3 Correlation matrix for the 17 quantitative variables of interest (lower triangle).

Table 4 Estimated coefficients for the logistic regression model: all predictors.

Table 5 Eigenvalue for the correlation matrix of the quantitative variables of interest.

Table 6 Results of backward selection procedure: z-statistic p-values with α=0.05.

Table 7 Eigenvectors for the correlation matrix for the retained components.

Table 8 Correlation matrix for the 17 quantitative variables of interest and retained principal components.

Fig. 1 Scatterplots of the principal components scores versus their “interpretation”.

Fig. 1 Scatterplots of the principal components scores versus their “interpretation”.

Table 9 Estimated coefficients for the logistic regression model.

Fig. 2 Deviance residual plots versus fitted values and retained principal components.

Fig. 2 Deviance residual plots versus fitted values and retained principal components.

Table 10 Player classification: logistic regression model results.

Table 11 Player classification: predicted Hall of Famers not in the Hall of Fame.

Table 12 Player classification: Hall of Famers predicted not to be in the Hall of Fame.

Supplemental material

Supplemental Material

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