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 + 208
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SIEBERG Marcel | 80 |
| 11 | TANG Wang Yip | 62 |
| 20 | WU Kin San | 68 |
| 23 | ZHU Yongbiao | 68 |
| 25 | MIFUNE Masahiko | 70 |
| 42 | CHAN Chun Hing | 70 |
| 51 | KLOSTERGAARD Kasper | 69 |
| 72 | NISHITANI Taiji | 62 |
| 74 | XU Gang | 69 |
| 80 | WONG Kam-Po | 65 |