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 = -0.2 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NISHITANI Taiji | 62 |
| 7 | MIZBANI Ghader | 67 |
| 9 | CRAWFORD Jai | 59 |
| 12 | FUKUDA Shinpei | 70 |
| 13 | SULZBERGER Bernard | 67 |
| 15 | DOCKER Mitchell | 73 |
| 18 | TANG Wang Yip | 62 |
| 19 | SALEH Mohd Zamri | 58 |
| 25 | TSUJI Yoshimitsu | 62 |
| 43 | WIJAYA Endra | 58 |
| 48 | HASANIN Omar | 75 |
| 49 | ASKARI Hossein | 73 |
| 57 | WU Kin San | 68 |
| 69 | ABE Yoshiyuki | 67 |
| 72 | KAZEMI Sarai Ahad | 71 |
| 84 | SUZUKI Shinri | 60 |
| 87 | HOFFMANN Erik | 65 |
| 90 | SUZUKI Yuzuru | 57 |