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 = -2.8 * weight + 227
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | CORDES Tom | 70 |
| 9 | LÖWIK Gerben | 72 |
| 10 | SCHMITZ Bram | 77 |
| 13 | DE WAELE Bert | 71 |
| 14 | PRONK Matthé | 73 |
| 15 | VAN DIJK Stefan | 74 |
| 31 | VERSTRAETEN Jan | 65 |
| 33 | REIHS Michael | 75 |
| 36 | LAUK Andres | 77 |
| 40 | VENEBERG Thorwald | 75 |
| 44 | WIELINGA Remmert | 68 |
| 54 | MUTSAARS Ronald | 67 |
| 55 | ENGELS Addy | 64 |
| 58 | STAM Danny | 64 |
| 59 | KROON Karsten | 67 |
| 62 | DE GROOT Bram | 65 |