Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.5 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROTH Ryan | 70 |
| 3 | DYBALL Benjamin | 63 |
| 4 | RAILEANU Cristian | 63 |
| 7 | CAVANAGH Ryan | 72 |
| 8 | MEIJERS Jeroen | 68 |
| 12 | NAKAJIMA Yasuharu | 64 |
| 13 | UCHIMA Kohei | 63 |
| 15 | LOOIJ André | 75 |
| 16 | ZAKARIA Akmal Hakim | 59 |
| 20 | YAMAMOTO Genki | 62 |
| 22 | ARASHIRO Yudai | 65 |
| 23 | LAKASEK Irwandie | 71 |
| 26 | OTHMAN Muhamad Afiq Husaine | 57 |
| 29 | OKUBO Jin | 70 |
| 31 | FELIPE Marcelo | 58 |