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 + 16
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IGLINSKIY Valentin | 68 |
| 2 | SOHRABI Mehdi | 69 |
| 4 | FOFONOV Dmitriy | 65 |
| 5 | SUZUKI Shinri | 60 |
| 7 | TSUJI Yoshimitsu | 62 |
| 9 | HATANAKA Yusuke | 72 |
| 15 | TANG Wang Yip | 62 |
| 16 | MIZUROV Andrey | 68 |
| 21 | SUZUKI Yuzuru | 57 |
| 23 | KAZEMI Sarai Ahad | 71 |
| 27 | SANO Junya | 76 |
| 32 | ABE Takayuki | 66 |
| 33 | NISHITANI Taiji | 62 |
| 42 | WESTPHAL Carlo | 75 |
| 44 | SHUSHEMOIN Alexandr | 62 |
| 47 | KOSAKA Hikaru | 62 |