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 = -2.3 * weight + 186
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROCHE Stephen | 74 |
| 4 | DE WILDE Etienne | 70 |
| 10 | YATES Sean | 74 |
| 16 | DERNIES Michel | 75 |
| 17 | MADIOT Marc | 68 |
| 20 | BOURREAU Bernard | 63 |
| 52 | DIDIER Lucien | 67 |
| 75 | BITTINGER René | 69 |