Cycle tour through multivariate statistics: Part 8 Conclusion

Conclusion

Based upon all the analysis performed in this paper, I conclude the following for the cycle touring dataset:

  • As respondents get older, their cycling budget increases.
  • To more money respondents spend the less nights per week they spend in budget accommodations.
  • The longer tours (in both days and distance) and for tours that visit the more places, the less days per week respondents ride.
  • The awesomeness of the tour is a combination of total distance, total duration, and tour variety.
  • The awesomeness of the tour can be predicted using days per week ridden and blogging.
  • Total days can be used to predict blogging. The longer the respondent’s journey the more likely the respondent is to blog.
  • Male respondents are more likely to ride touring bikes.
  • Respondents who ride touring bikes are more likely to carry more panniers.
  • Respondents located in North America are more likely to ride more days per week.
  • The more panniers a respondent carries, the less days per week the respondent is likely to ride.
  • The more days per week the respondent rides, the less awesome the respondent’s tour is.
  • The more awesome the respondent’s tour is, the less likely the respondent is to do it again.

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