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 = -1.5 * weight + 136
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | BALČIŪNAS Linas | 90 |
| 8 | HAYMAN Mathew | 78 |
| 9 | PRONK Matthé | 73 |
| 13 | POLLACK Olaf | 77 |
| 16 | VAN DIJK Stefan | 74 |
| 20 | LEUKEMANS Björn | 67 |
| 21 | SABALIAUSKAS Marius | 76 |
| 23 | CORDES Tom | 70 |
| 24 | LUPEIKIS Remigius | 80 |
| 26 | SCHMITZ Bram | 77 |
| 35 | MÜLLER Martin | 79 |
| 42 | STAM Danny | 64 |
| 46 | VAN DER STEEN Niels | 70 |
| 52 | PINTARIČ Robert | 69 |
| 53 | VENEBERG Thorwald | 75 |
| 58 | WILLEMS Frederik | 67 |