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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARCHAMBAUD Maurice | 66 |
| 2 | BONDUEL Frans | 74 |
| 4 | PIRMEZ Théo | 76 |
| 5 | MASSON JR Émile | 78 |
| 7 | VAN NEK Piet | 80 |
| 9 | GALATEAU Fabien | 76 |
| 11 | ZIMMERMANN Robert | 72 |
| 12 | VAN SCHENDEL Antoon | 82 |
| 18 | MERVIEL Jules | 68 |
| 19 | BERNARD René | 69 |