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 = -0.5 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARIE Thierry | 68 |
| 2 | INDURÁIN Miguel | 76 |
| 3 | FIGNON Laurent | 67 |
| 4 | ROCHE Stephen | 74 |
| 7 | BREUKINK Erik | 70 |
| 8 | MOREAU Francis | 77 |
| 19 | DE WILDE Etienne | 70 |
| 20 | MADIOT Marc | 68 |
| 23 | WINNEN Peter | 60 |
| 25 | ELLIOTT Malcolm | 76 |