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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOOM Lars | 75 |
| 2 | POSTHUMA Joost | 76 |
| 3 | DE KORT Koen | 69 |
| 4 | KNAVEN Servais | 68 |
| 5 | OOSTLANDER Sander | 78 |
| 6 | ELIJZEN Michiel | 80 |
| 7 | BELLEMAKERS Dirk | 75 |
| 8 | VAN EMDEN Jos | 78 |
| 9 | WESTRA Lieuwe | 74 |
| 10 | VEELERS Tom | 75 |
| 14 | SCHEUNEMAN Niels | 75 |
| 15 | SCHMITZ Bram | 77 |
| 16 | VAN LAKERVELD Erik | 85 |
| 18 | ROOIJAKKERS Piet | 68 |