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 = 0.8 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NISHITANI Taiji | 62 |
| 3 | DOI Yukihiro | 58 |
| 4 | FENG Chun Kai | 68 |
| 8 | PUJOL Óscar | 58 |
| 9 | TORIBIO José Vicente | 64 |
| 10 | NAKAJIMA Yasuharu | 64 |
| 12 | EBSEN John | 58 |
| 17 | GOH Choon Huat | 54 |
| 23 | JAWAD Mansoor | 58 |
| 35 | NOVARDIANTO Jamalidin | 69 |
| 42 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 45 | OKUBO Jin | 70 |
| 48 | NIETO Edgar | 58 |
| 56 | ABE Takayuki | 66 |