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 = 0.3 * weight + 36
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠUMPÍK Pavel | 63 |
| 8 | SOLEN Keije | 67 |
| 13 | QUINT Antoine | 75 |
| 20 | SMIT Stan | 59 |
| 21 | MONS Jasper | 61 |
| 25 | JENSEN Nicklas Dyrholm | 71 |
| 38 | VAN KEULEN Wessel | 71 |
| 49 | KOSTER David | 58 |
| 59 | WEBER Gino | 77 |
| 69 | NAGENGAST Ruud Junior | 62 |
| 78 | DEN OTTER Jesse | 81 |
| 81 | RICHERT Luke | 69 |
| 94 | PAAIMANS Teun | 64 |
| 97 | DAHLER Thijs | 60 |
| 102 | DERKSEN Jente | 69 |
| 103 | MEUWESE Quint | 63 |
| 106 | HANEGRAAF Niels | 70 |