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the single one (32%likely), while the widowed were less likely to participate in sports

Table 8 the single one (32%likely), while the widowed were less likely to participate in sports

Related Figures (7)

Table 1.0: Summary of Variables Found In the Literature/Key results
Table 1.0: Summary of Variables Found In the Literature/Key results
Table 2: Sample distribution per ward
Table 2: Sample distribution per ward
Table 3: Study variables of interest in this study are shown in the table 3 below with the binary definition. leave wide room for future research to make the necessary improvements. The variables
Table 3: Study variables of interest in this study are shown in the table 3 below with the binary definition. leave wide room for future research to make the necessary improvements. The variables
Table 4: Characteristics of Respondents secondary education. This is the case with the most urban population in Zambian amounting to 5% hence the majority of respondents in the sample have at leas
Table 4: Characteristics of Respondents secondary education. This is the case with the most urban population in Zambian amounting to 5% hence the majority of respondents in the sample have at leas
Table 5: Regression Results for Binary Logit Model ess likely to participate in sports that their Maramba counterparts.
Table 5: Regression Results for Binary Logit Model ess likely to participate in sports that their Maramba counterparts.
Related topics:
Sports economicsThe Economics of Sports ProgrammingSports and EconomicsHistory of sports tourism
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