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 + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABMA Elmar | 86 |
| 2 | VAN DE WYNKELE Lorenz | 75 |
| 7 | BOMBOI Davide | 72 |
| 8 | DE SCHUYTENEER Steffen | 74 |
| 9 | NAKKEN Tobias Risan | 72 |
| 10 | SIMMONS Colby | 68 |
| 11 | DEHAIRS Simon | 82 |
| 12 | BEHRENS Niklas | 80 |
| 13 | KRUL Wessel | 75 |
| 14 | MCDONALD Brody | 65 |
| 15 | BRENNAN Matthew | 68 |