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 = -1 * weight + 91
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRIEDMAN Michael | 82 |
| 3 | NISHITANI Taiji | 62 |
| 4 | BEUCHAT Roger | 62 |
| 5 | WONG Kam-Po | 65 |
| 6 | REIJNEN Kiel | 63 |
| 7 | JANG Kyung-Gu | 64 |
| 8 | ROUTLEY Will | 69 |
| 9 | JIANG Kun | 71 |
| 16 | PARK Sung Baek | 73 |
| 18 | JIAO Pengda | 65 |
| 22 | XU Gang | 69 |
| 24 | ALIZADEH Hossein | 62 |
| 27 | CHOE Hyeong Min | 63 |
| 30 | SEO Joon Yong | 66 |
| 35 | FUKUSHIMA Shinichi | 62 |
| 40 | UCHIMA Kohei | 63 |
| 41 | WU Kin San | 68 |
| 49 | CHAN Chun Hing | 70 |
| 67 | CHEUNG King Lok | 59 |