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 = -1.8 * weight + 155
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | VAN DE WALLE Jurgen | 74 |
| 14 | CHADWICK Glen Alan | 75 |
| 15 | ABE Yoshiyuki | 67 |
| 26 | CHAN Chun Hing | 70 |
| 28 | MAASKANT Martijn | 76 |
| 29 | SIJMENS Nico | 69 |
| 37 | KAZEMI Sarai Ahad | 71 |
| 39 | SUZUKI Shinri | 60 |
| 41 | MIZBANI Ghader | 67 |
| 60 | WONG Kam-Po | 65 |