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 = 0.6 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WILDE Etienne | 70 |
| 2 | PLANCKAERT Eddy | 69 |
| 3 | VAN DER POEL Adrie | 70 |
| 6 | BAFFI Adriano | 70 |
| 7 | SØRENSEN Rolf | 70 |
| 10 | HOSTE Frank | 76 |
| 13 | ELLIOTT Malcolm | 76 |
| 14 | PEETERS Wilfried | 76 |
| 21 | MARIE Thierry | 68 |