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 = 0.7 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PUJOL Óscar | 58 |
| 4 | FENG Chun Kai | 68 |
| 7 | CRAWFORD Jai | 59 |
| 8 | EBSEN John | 58 |
| 12 | SAEIDI TANHA Abbas | 70 |
| 15 | MANULANG Robin | 59 |
| 20 | YAMAMOTO Genki | 62 |
| 23 | NAKAJIMA Yasuharu | 64 |
| 34 | CAHYADI Aiman | 52 |
| 42 | DOUGALL Nic | 72 |
| 57 | WIJAYA Endra | 58 |
| 59 | PRIYA PRASETYA Heksa | 62 |
| 78 | GOH Choon Huat | 54 |
| 81 | EDMONDSON Alex | 75 |
| 82 | HIRAI Eiichi | 63 |
| 89 | SALEH Mohd Zamri | 58 |
| 90 | SALEH Mohd Harrif | 70 |