Relating Kickstarter Project Backers to Money Raised for Projects
Aiden Jung, Matthew Gao, Trung Le
2/22/22
Background
Kickstarter is a public benefit company that encourages crowdfunding for creative projects.
We will be looking at important statistics for each Kickstarter project: a goal, the number of backers (donators), and the total amount pledged to the project.
We hypothesize that there is direct correlation between the number of backers to a project and the amount pledged to that project.
To perform our tests, we cleaned the data, tidied it, performed a linear regression test, and used data vis (a scatterplot).
Distribution of Number of Backers for Each Project
Scatterplot with Single Regression Line
Summary Statistics
- Calculated from summary() function
- Residuals:
- Median: -12516
- 25%-75%: [-39486, 21719]
- Adjusted R-squared: 0.1452
- Coefficient of ln: 23969.3
- p < 2.2e-16
Conclusions
With a p-value of 2.2e-16 < 0.05, we reject H_o that B_1 = 0. There is a clear relationship between the number of backers to a Kickstarter project and the amount of money pledged to that project.
We encountered some limitations:
- We tried to compare the number of backers to the ratio of pledged money to the target goal that the project specified.
- For some dumb reason, a handful of campaigns listed their goal as $1 and managed to raise thousands of dollars, skyrocketing these ratios. When plotting it with ggplot, we got some really out-of-wack visualizations.
