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 = 3.6 * weight - 221
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAYANT Martial | 69 |
| 5 | DE WILDE Etienne | 70 |
| 6 | MUSEEUW Johan | 71 |
| 8 | HEIRWEG Dirk | 73 |
| 15 | PEETERS Wilfried | 76 |
| 17 | CORDES Tom | 70 |
| 38 | DEMOL Dirk | 72 |
| 68 | MADIOT Marc | 68 |
| 72 | ROCHE Stephen | 74 |
| 73 | BOMANS Carlo | 74 |
| 78 | RUÉ Gérard | 74 |