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 = 2.5 * weight + 616
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ELLIOTT Malcolm | 76 |
| 6 | DOMÍNGUEZ Manuel Jorge | 67 |
| 11 | WELTZ Johnny | 65 |
| 990 | PEETERS Wilfried | 76 |
| 990 | PEDERSEN Atle | 70 |
| 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 |