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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROSSETTO Stéphane | 68 |
| 3 | MOL Wouter | 83 |
| 4 | VEUCHELEN Frederik | 75 |
| 5 | RICKAERT Jonas | 88 |
| 6 | FOUCHARD Julien | 74 |
| 7 | CHAVANEL Sylvain | 73 |
| 8 | VALGREN Michael | 71 |
| 9 | BENEDETTI Cesare | 63 |
| 10 | BAGDONAS Gediminas | 78 |
| 11 | DUMOULIN Samuel | 57 |
| 12 | PICHOT Alexandre | 72 |
| 13 | BULGAÇ Brian | 71 |
| 14 | ENGOULVENT Jimmy | 82 |
| 15 | GARDEYN Gorik | 75 |