This investigation was developed as a correlation and multiple regression survey of the anthropometric influences and work output upon push up performance among men and women. Statistical analyses were completed for 180 volunteers (81 men; 99 women) ages 17–33 (c=21.02). Eight link-lengths were examined, in addition to height, weight, percent fat, center of gravity (COG), and push up performance. Subjects completed a questionnaire that ascertained their exercise habits, then participated in anthropometric assessment. COG was measured using the scale method (c=27.36 in., SD=5.47). Finally, subjects were instructed to perform as many standard push ups as possible (c=22; SD=16.49). Work output (c=15148.06 NM; SD=12160.63) was calculated using the Exercise Equalizing Equation proposed by Adrian & Cooper (1994). Correlation and multiple regression analyses were computed using push ups as the dependent variable, and then again using adjusted work output as the dependent variable. All data were considered statistically significant at p<0.05. Percent fat (r=0.614; p<0.0001), body height (r=0.540; p<0.0001), and COG (r=0.447; p<0.0001) did suggest a relationship with push up performance. Five of the eight link-lengths measured also suggested significance with push up performance. When the data was treated as a whole (n=180), shoulder width held the strongest correlate (r=0.393; p<0.0001) with push up performance. Upon examining activity factors, 5 of the 14 questionnaire items suggested significance rpbis with push up performance. When adjusted work output was examined with push up performance, percent fat, 6 of the link-lengths, height, weight, and COG produced significant correlates. Multiple regression analyses suggested that work output, weight, COG, and percent fat were significant predictors of push up performance. While shoulder width was not found as a predictor among the males, it was found as a predictor among the female subjects. When adjusted work output was analyzed with multiple regression techniques, repetitions, weight, and percent fat were found as significant predictors. These findings suggested that the traditional method of using only age and gender to assess push up performance, inappropriate and inaccurate evaluations could be assumed. Additionally by using work output rather than repetitions as the final test score, the possibility of a zero score was negated, thus the validity of the test was improved.Keyword(s): exercise/fitness, performance, physical activity