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 = -0.4 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LE GAC Olivier | 70 |
| 5 | DE BUYST Jasper | 72 |
| 6 | BOONS Ruben | 85 |
| 8 | YSSAAD Yannis | 69 |
| 9 | CAPIOT Amaury | 69 |
| 10 | BRUSSELMAN Twan | 76 |
| 11 | FOLSACH Casper | 81 |
| 13 | KERF Jerome | 71 |
| 18 | THEVENOT Guillaume | 69 |
| 22 | VERMEULEN Emiel | 64 |
| 34 | MAES Alexander | 72 |