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 = -0.5 * weight + 61
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MEJIA Alvaro | 63 |
| 4 | ROMINGER Tony | 65 |
| 7 | ROCHE Stephen | 74 |
| 20 | MADOUAS Laurent | 70 |
| 23 | BOURGUIGNON Thierry | 72 |
| 25 | HERRERA Luis Alberto | 57 |
| 28 | KELLY Sean | 77 |
| 29 | BRUYNEEL Johan | 71 |
| 30 | EARLEY Martin | 62 |
| 31 | PEDERSEN Atle | 70 |
| 41 | TOLHOEK Patrick | 63 |
| 51 | YATES Sean | 74 |
| 53 | GIANETTI Mauro | 62 |
| 55 | ARROYO Miguel | 59 |