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 = 2.1 * weight - 114
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ABE Takayuki | 66 |
| 3 | FUKUSHIMA Shinichi | 62 |
| 5 | SUZUKI Shinri | 60 |
| 6 | SANO Junya | 76 |
| 7 | SHIMIZU Miyataka | 60 |
| 9 | NAKAJIMA Yasuharu | 64 |
| 11 | JANG Chan Jae | 64 |
| 17 | MIYAZAWA Takashi | 61 |
| 19 | WONG Kam-Po | 65 |
| 33 | UCHIMA Kohei | 63 |
| 40 | FENG Chun Kai | 68 |
| 48 | KUBOKI Kazushige | 68 |
| 61 | KIRSIPUU Jaan | 80 |
| 63 | BAGOT Yoann | 65 |
| 78 | VAUBOURZEIX Thomas | 70 |