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 = 1.4 * weight - 53
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | MASSON Christophe | 68 |
| 8 | SALEH Mohd Zamri | 58 |
| 9 | WONG Kam-Po | 65 |
| 10 | MIURA Kyoshi | 67 |
| 20 | NISHITANI Taiji | 62 |
| 34 | UCHIMA Kohei | 63 |
| 35 | LAPTHORNE Darren | 70 |
| 43 | WU Kin San | 68 |
| 51 | FENG Chun Kai | 68 |
| 52 | ASKARI Hossein | 73 |
| 53 | SOUTHAM Tom | 69 |
| 60 | CHAN Chun Hing | 70 |
| 65 | MIZBANI Ghader | 67 |
| 69 | CRAWFORD Jai | 59 |