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 = -1.6 * weight + 144
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HASANIN Omar | 75 |
| 2 | KAZEMI Sarai Ahad | 71 |
| 4 | TSUJI Yoshimitsu | 62 |
| 6 | DOCKER Mitchell | 73 |
| 13 | HOFFMANN Erik | 65 |
| 15 | FUKUDA Shinpei | 70 |
| 16 | SUZUKI Yuzuru | 57 |
| 20 | TANG Wang Yip | 62 |
| 21 | WU Kin San | 68 |
| 41 | CRAWFORD Jai | 59 |
| 51 | SALEH Mohd Zamri | 58 |
| 52 | ABE Yoshiyuki | 67 |
| 53 | WIJAYA Endra | 58 |
| 62 | ASKARI Hossein | 73 |
| 68 | SULZBERGER Bernard | 67 |
| 69 | MIZBANI Ghader | 67 |
| 84 | NISHITANI Taiji | 62 |
| 85 | SUZUKI Shinri | 60 |