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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THIJSSEN Gerben | 74 |
| 2 | VAN DEN BERG Marijn | 73 |
| 3 | MEEUS Jordi | 80 |
| 4 | BOVEN Lars | 62 |
| 5 | DÉMARE Arnaud | 76 |
| 6 | OLIVEIRA Rui | 66 |
| 7 | BAYER Tobias | 71 |
| 8 | STUYVEN Jasper | 78 |
| 9 | HEIDUK Kim | 70 |
| 10 | FONTE César | 60 |