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 - 19
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NISHITANI Taiji | 62 |
| 3 | DOI Yukihiro | 58 |
| 7 | PUJOL Óscar | 58 |
| 8 | FENG Chun Kai | 69 |
| 9 | TORIBIO José Vicente | 64 |
| 11 | NAKAJIMA Yasuharu | 64 |
| 12 | EBSEN John | 58 |
| 21 | GOH Choon Huat | 54 |
| 22 | JAWAD Mansoor | 58 |
| 34 | NOVARDIANTO Jamalidin | 69 |
| 42 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 45 | OKUBO Jin | 70 |
| 48 | NIETO Edgar | 58 |
| 56 | ABE Takayuki | 66 |