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 - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUWMANS Dylan | 64 |
| 3 | STORK Florian | 65 |
| 4 | EENKHOORN Pascal | 72 |
| 5 | PHILIPSEN Jasper | 75 |
| 6 | MAAS Jan | 70 |
| 10 | APERS Ruben | 70 |
| 11 | VAN DEN BERG Lars | 72 |
| 12 | DE DECKER Alfdan | 68 |