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 = 0.6 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CRAWFORD Jai | 59 |
| 2 | DOI Yukihiro | 58 |
| 5 | MIZBANI Ghader | 67 |
| 6 | ASKARI Hossein | 73 |
| 8 | WONG Kam-Po | 65 |
| 12 | ZONNEVELD Thijs | 63 |
| 19 | MIYAZAWA Takashi | 61 |
| 22 | ARASHIRO Yukiya | 64 |
| 25 | FUKUSHIMA Shinichi | 62 |
| 30 | WU Kin San | 68 |
| 34 | CHAN Chun Hing | 70 |
| 61 | SAEIDI TANHA Abbas | 70 |
| 67 | TANG Wang Yip | 62 |
| 74 | SHIMIZU Miyataka | 60 |
| 77 | LIU Biao | 67 |