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 + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WELTEN Bram | 81 |
| 2 | SISR František | 72 |
| 3 | ARIESEN Tim | 70 |
| 4 | NOPPE Christophe | 73 |
| 5 | PLANCKAERT Edward | 71 |
| 6 | DE BONDT Dries | 73 |
| 7 | NÕMMELA Aksel | 69 |
| 8 | DE TROYER Tim | 72 |
| 9 | VINGERLING Michael | 75 |
| 10 | DIBBEN Jonathan | 78 |
| 11 | WARLOP Jordi | 71 |
| 12 | SCHREURS Hamish | 69 |
| 13 | WÜRTZ SCHMIDT Mads | 70 |
| 15 | LATHAM Christopher | 81 |
| 16 | HAVIK Piotr | 73 |