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 = -15.4 * weight + 1825
This means that on average for every extra kilogram weight a rider loses -15.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELLIOTT Malcolm | 76 |
| 12 | HOLM SØRENSEN Brian | 77 |
| 14 | DOMÍNGUEZ Manuel Jorge | 67 |
| 15 | PEDERSEN Atle | 70 |
| 990 | PEETERS Wilfried | 76 |
| 990 | WELTZ Johnny | 65 |
| 990 | DELGADO Pedro | 64 |
| 990 | MEJIA Alvaro | 63 |
| 990 | KELLY Sean | 77 |
| 990 | LLACH Joaquin | 58 |
| 990 | MUJIKA Jokin | 73 |
| 990 | RIPOLL José Andrés | 66 |
| 990 | HODGE Stephen | 74 |
| 990 | MAURI Melchor | 68 |
| 990 | SCIREA Mario | 80 |
| 990 | ALONSO Marino | 70 |