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 = -1.9 * weight + 153
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 2 | CRAWFORD Jai | 59 |
| 5 | ASKARI Hossein | 73 |
| 6 | LAPTHORNE Darren | 70 |
| 11 | FENG Chun Kai | 68 |
| 16 | WONG Kam-Po | 65 |
| 19 | MASSON Christophe | 68 |
| 22 | SOUTHAM Tom | 69 |
| 24 | UCHIMA Kohei | 63 |
| 25 | WU Kin San | 68 |
| 48 | CHAN Chun Hing | 70 |
| 59 | SALEH Mohd Zamri | 58 |
| 61 | MIURA Kyoshi | 67 |
| 74 | NISHITANI Taiji | 62 |