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 = -2.8 * weight + 217
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | WONG Kam-Po | 65 |
| 6 | MASSON Christophe | 68 |
| 7 | SOUTHAM Tom | 69 |
| 18 | LAPTHORNE Darren | 70 |
| 20 | CHAN Chun Hing | 70 |
| 26 | ASKARI Hossein | 73 |
| 27 | NISHITANI Taiji | 62 |
| 29 | MIZBANI Ghader | 67 |
| 38 | WU Kin San | 68 |
| 42 | UCHIMA Kohei | 63 |
| 56 | SALEH Mohd Zamri | 58 |
| 62 | MIURA Kyoshi | 67 |
| 70 | CRAWFORD Jai | 59 |