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 = 0.5 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHEUNG King Lok | 59 |
| 4 | UCHIMA Kohei | 63 |
| 6 | NISHITANI Taiji | 62 |
| 7 | PARK Sung Baek | 73 |
| 8 | ALIZADEH Hossein | 62 |
| 9 | BEUCHAT Roger | 62 |
| 10 | FUKUSHIMA Shinichi | 62 |
| 11 | FRIEDMAN Michael | 82 |
| 21 | JIANG Kun | 71 |
| 23 | CHAN Chun Hing | 70 |
| 24 | WONG Kam-Po | 65 |
| 25 | JIAO Pengda | 65 |
| 29 | CHOE Hyeong Min | 63 |
| 30 | SEO Joon Yong | 66 |
| 31 | REIJNEN Kiel | 63 |
| 32 | ROUTLEY Will | 69 |
| 33 | JANG Kyung-Gu | 64 |
| 50 | XU Gang | 69 |
| 65 | WU Kin San | 68 |