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Table 3 The result of correlation test

From: Leisure participation patterns and gender wage gap—evidence from Chinese manufacturing industry

Variables   Gender Standard hours Work age
Income Pearson value .442** .411** .592**
Asymp.Sig (2-tailed) .000 .000 .000
N 74 74 74
  1. Fourteen variables including level of education, marital status, and leisure time show no significant relationship with income level, so we omit them in the table
  2. *Two-tailed significance at the 0.10 level; ** Two-tailed significance at the 0.05 level