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 = -1.1 * weight + 85
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARK Sung Baek | 73 |
| 2 | WONG Kam-Po | 65 |
| 8 | NISHITANI Taiji | 62 |
| 15 | TANG Wang Yip | 62 |
| 17 | WU Kin San | 68 |
| 21 | CRAWFORD Jai | 59 |
| 22 | WIJAYA Endra | 58 |
| 23 | ZONNEVELD Thijs | 63 |
| 25 | ABE Yoshiyuki | 67 |
| 29 | REID Robin | 62 |