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 = -3.4 * weight + 263
This means that on average for every extra kilogram weight a rider loses -3.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUCLOS-LASSALLE Gilbert | 73 |
| 3 | YATES Sean | 74 |
| 4 | ROCHE Stephen | 74 |
| 7 | DE WILDE Etienne | 70 |
| 11 | GLAUS Gilbert | 67 |
| 15 | GAYANT Martial | 69 |
| 39 | DEMOL Dirk | 72 |
| 45 | NILSSON Sven-Åke | 63 |
| 58 | WINNEN Peter | 60 |
| 84 | BITTINGER René | 69 |