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 = 2.5 * weight - 135
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ABE Takayuki | 66 |
| 3 | FUKUSHIMA Shinichi | 62 |
| 4 | SHIMIZU Miyataka | 60 |
| 5 | NAKAJIMA Yasuharu | 64 |
| 7 | SUZUKI Shinri | 60 |
| 11 | SANO Junya | 76 |
| 12 | JANG Chan Jae | 64 |
| 18 | MIYAZAWA Takashi | 61 |
| 20 | WONG Kam-Po | 65 |
| 37 | UCHIMA Kohei | 63 |
| 40 | FENG Chun Kai | 68 |
| 58 | KUBOKI Kazushige | 68 |
| 62 | KIRSIPUU Jaan | 80 |
| 63 | BAGOT Yoann | 65 |
| 79 | VAUBOURZEIX Thomas | 70 |
| 89 | GENIEZ Alexandre | 68 |