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 = 3.6 * weight - 186
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MIYAZAWA Takashi | 61 |
| 9 | FUKUSHIMA Shinichi | 62 |
| 13 | CRAWFORD Jai | 59 |
| 20 | ZARGARI Amir | 62 |
| 25 | DOI Yukihiro | 58 |
| 32 | WU Kin San | 68 |
| 42 | TANG Wang Yip | 62 |
| 45 | ARASHIRO Yukiya | 64 |
| 49 | ZONNEVELD Thijs | 63 |
| 54 | CHAN Chun Hing | 70 |
| 59 | ASKARI Hossein | 73 |
| 64 | SHIMIZU Miyataka | 60 |
| 68 | WONG Kam-Po | 65 |
| 69 | MIZBANI Ghader | 67 |
| 82 | DEMPSTER Zak | 77 |
| 96 | SAEIDI TANHA Abbas | 70 |
| 102 | LIU Biao | 67 |