![]() ![]() The data from elite runners in the 30 years and above age group were analyzed, and the results were extrapolated to develop a training plan. There were consistent increases in marathon times for women with advancing age. The correlation was significant at the 0.05 level (one-way ANOVA). The results found that the relationship between female age (x, in years) and marathon time (y, in hours) was found to be linear (r = 0.85, y = 0.0021x + 0.0338). ![]() ![]() The top three finishers from each age group, ordered by five-year increments, between the ages of 30 and 75 years were included in the analysis. The data were collected from publicly available online results from four 2018 races, namely, the California International Marathon, the Los Angeles Marathon, the Grandma’s Marathon, and the New York City Marathon. The aim of this study was to: i) for the thesis portion, determine if there is a correlation between female marathon time and age and ii) for the project, to create a training plan for older elite marathon runners (between 3:50 and 4:30 hours’ time) to improve their running performance. ![]()
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