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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS José Joaquín | 70 |
| 2 | POELS Wout | 66 |
| 3 | WEGMANN Fabian | 60 |
| 4 | RATTO Daniele | 74 |
| 5 | VICHOT Arthur | 74 |
| 6 | HESJEDAL Ryder | 73 |
| 7 | MEERSMAN Gianni | 63 |
| 8 | IZAGIRRE Gorka | 66 |
| 9 | GAVAZZI Francesco | 65 |
| 11 | IMPEY Daryl | 72 |
| 12 | ROWE Luke | 72 |
| 13 | VICIOSO Ángel | 60 |
| 14 | VELITS Martin | 70 |
| 15 | SANTAMBROGIO Mauro | 63 |