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 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VEELERS Tom | 75 |
| 3 | STAMSNIJDER Tom | 76 |
| 4 | DE MAAR Marc | 70 |
| 5 | DUIJN Huub | 73 |
| 6 | BELLEMAKERS Dirk | 75 |
| 9 | DEKKER Thomas | 69 |
| 11 | LANGEVELD Sebastian | 67 |
| 14 | REUS Kai | 70 |
| 15 | LEEZER Tom | 76 |
| 19 | BOOM Lars | 75 |
| 53 | VAN LEIJEN Joost | 73 |