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 = -3.2 * weight + 272
This means that on average for every extra kilogram weight a rider loses -3.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WINN Julian | 70 |
| 3 | BRAMMEIER Matt | 72 |
| 6 | LLOYD Daniel | 70 |
| 25 | MCCANN David | 73 |
| 43 | IRVINE Martyn | 80 |
| 45 | WU Kin San | 68 |
| 50 | TANG Wang Yip | 62 |
| 51 | CHAN Chun Hing | 70 |
| 63 | XU Gang | 69 |
| 74 | DOI Yukihiro | 58 |
| 84 | TREACEY David | 67 |
| 88 | REID Robin | 62 |
| 90 | FUKUSHIMA Shinichi | 62 |
| 117 | GLASNER Björn | 72 |
| 119 | MIYAZAWA Takashi | 61 |