Last updated on August 30th, 2019 at 06:58 am
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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