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 = 0.4 * weight + 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PUJOL Óscar | 58 |
| 2 | CRAWFORD Jai | 59 |
| 3 | FENG Chun Kai | 69 |
| 6 | EBSEN John | 58 |
| 8 | YAMAMOTO Genki | 62 |
| 13 | SAEIDI TANHA Abbas | 70 |
| 25 | DOUGALL Nic | 72 |
| 31 | MANULANG Robin | 59 |
| 33 | CAHYADI Aiman | 52 |
| 37 | WIJAYA Endra | 58 |
| 46 | PRIYA PRASETYA Heksa | 62 |
| 49 | NAKAJIMA Yasuharu | 64 |
| 65 | EDMONDSON Alex | 75 |
| 66 | HIRAI Eiichi | 63 |
| 76 | GOH Choon Huat | 54 |
| 77 | SALEH Mohd Zamri | 58 |
| 89 | SALEH Mohd Harrif | 70 |