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 - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENNETT Sam | 73 |
| 2 | PHILIPSEN Jasper | 75 |
| 3 | GROENEWEGEN Dylan | 70 |
| 4 | THEUNS Edward | 72 |
| 5 | DUPONT Timothy | 72 |
| 6 | CAPIOT Amaury | 69 |
| 7 | HALVORSEN Kristoffer | 69 |
| 8 | BAUHAUS Phil | 75 |
| 9 | HODEG Álvaro José | 76 |
| 10 | TEUNISSEN Mike | 73 |
| 11 | DÉMARE Arnaud | 76 |
| 12 | ROELANDTS Jürgen | 78 |
| 13 | SÉNÉCHAL Florian | 77 |
| 14 | MARECZKO Jakub | 67 |
| 15 | MAES Nikolas | 78 |