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 = 0.4 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IGLINSKIY Valentin | 68 |
| 2 | SUZUKI Shinri | 60 |
| 3 | FOFONOV Dmitriy | 65 |
| 9 | SUZUKI Yuzuru | 57 |
| 10 | MIZUROV Andrey | 68 |
| 11 | SANO Junya | 76 |
| 16 | KAZEMI Sarai Ahad | 71 |
| 18 | NISHITANI Taiji | 62 |
| 19 | ABE Takayuki | 66 |
| 22 | TANG Wang Yip | 62 |
| 24 | SHUSHEMOIN Alexandr | 62 |
| 29 | SOHRABI Mehdi | 69 |
| 32 | HATANAKA Yusuke | 72 |
| 39 | TSUJI Yoshimitsu | 62 |
| 44 | KOSAKA Hikaru | 62 |
| 45 | WESTPHAL Carlo | 75 |