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 = 0.6 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TORIBIO José Vicente | 64 |
| 4 | DOI Yukihiro | 58 |
| 5 | EBSEN John | 58 |
| 8 | NISHITANI Taiji | 62 |
| 14 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 15 | GOH Choon Huat | 54 |
| 17 | NAKAJIMA Yasuharu | 64 |
| 19 | NOVARDIANTO Jamalidin | 69 |
| 23 | JAWAD Mansoor | 58 |
| 27 | FENG Chun Kai | 69 |