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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KURIANOV Stepan | 74 |
| 2 | GAUDU David | 53 |
| 3 | WELTEN Bram | 81 |
| 4 | WIRTGEN Tom | 77 |
| 5 | MENTEN Milan | 68 |
| 6 | WARLOP Jordi | 71 |
| 7 | PEETERS Yannick | 69 |
| 8 | LEYSEN Senne | 78 |
| 10 | PLANCKAERT Emiel | 69 |
| 11 | DE POORTER Maxime | 68 |
| 12 | CORNELISSE Mitchell | 73.5 |
| 13 | BAX Sjoerd | 78 |
| 16 | EENKHOORN Pascal | 72 |
| 18 | WILLEMS Thimo | 67 |
| 19 | DE VRIES Hartthijs | 66 |
| 20 | MORTIER Julien | 66 |
| 23 | MOLLY Kenny | 61 |