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 - 16
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LLOYD Daniel | 70 |
| 3 | FUKUSHIMA Shinichi | 62 |
| 9 | BRAMMEIER Matt | 72 |
| 17 | REID Robin | 62 |
| 25 | CHAN Chun Hing | 70 |
| 30 | MIYAZAWA Takashi | 61 |
| 33 | XU Gang | 69 |
| 36 | TANG Wang Yip | 62 |
| 44 | GLASNER Björn | 72 |
| 51 | MCCANN David | 73 |
| 53 | WINN Julian | 70 |
| 57 | WU Kin San | 68 |
| 91 | IRVINE Martyn | 80 |
| 94 | DOI Yukihiro | 58 |