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 = -0.1 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NISHITANI Taiji | 62 |
| 2 | SULZBERGER Bernard | 67 |
| 3 | HOFFMANN Erik | 65 |
| 4 | CRAWFORD Jai | 59 |
| 5 | TANG Wang Yip | 62 |
| 7 | ABE Yoshiyuki | 67 |
| 9 | KAZEMI Sarai Ahad | 71 |
| 10 | ASKARI Hossein | 73 |
| 12 | MIZBANI Ghader | 67 |
| 24 | SUZUKI Yuzuru | 57 |
| 39 | SUZUKI Shinri | 60 |
| 44 | WIJAYA Endra | 58 |
| 49 | HASANIN Omar | 75 |
| 58 | DOCKER Mitchell | 73 |
| 69 | WU Kin San | 68 |
| 77 | FUKUDA Shinpei | 70 |
| 87 | TSUJI Yoshimitsu | 62 |
| 90 | SALEH Mohd Zamri | 58 |