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 = 0.8 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | SOUTHAM Tom | 69 |
| 8 | NISHITANI Taiji | 62 |
| 14 | WONG Kam-Po | 65 |
| 17 | MASSON Christophe | 68 |
| 23 | CHAN Chun Hing | 70 |
| 30 | UCHIMA Kohei | 63 |
| 31 | SALEH Mohd Zamri | 58 |
| 47 | WU Kin San | 68 |
| 57 | LAPTHORNE Darren | 70 |
| 58 | ASKARI Hossein | 73 |
| 59 | MIZBANI Ghader | 67 |
| 66 | CRAWFORD Jai | 59 |
| 70 | MIURA Kyoshi | 67 |
| 80 | FENG Chun Kai | 68 |