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 = 1.7 * weight - 64
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ŠUMPÍK Pavel | 63 |
| 5 | NAGENGAST Ruud Junior | 62 |
| 22 | SOLEN Keije | 67 |
| 25 | MONS Jasper | 61 |
| 30 | DERKSEN Jente | 69 |
| 31 | JENSEN Nicklas Dyrholm | 71 |
| 48 | SMIT Stan | 59 |
| 53 | QUINT Antoine | 75 |
| 55 | KOSTER David | 58 |
| 59 | RICHERT Luke | 69 |
| 68 | HANEGRAAF Niels | 70 |
| 71 | MEUWESE Quint | 63 |
| 76 | VAN KEULEN Wessel | 71 |
| 84 | DEN OTTER Jesse | 81 |
| 99 | DAHLER Thijs | 60 |
| 104 | WEBER Gino | 77 |