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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUDDING Martijn | 74 |
| 3 | LIENHARD Fabian | 73 |
| 4 | GMELICH MEIJLING Jarno | 77 |
| 8 | TIZZA Marco | 58 |
| 9 | BONNAMOUR Franck | 70 |
| 10 | HENN Luca | 64 |
| 11 | VAN DEN BERG Julius | 78 |
| 12 | JANSSENS Jimmy | 74 |
| 13 | BIERMANS Jenthe | 78 |
| 14 | HIVERT Jonathan | 62 |
| 15 | PREMONT Christophe | 69 |
| 16 | VEREECKEN Nicolas | 72 |
| 17 | KRUL Stef | 68 |