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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BISSEGGER Stefan | 78 |
| 2 | VAN DEN BERG Marijn | 73 |
| 3 | CAMPOS Francisco | 60 |
| 4 | URIANSTAD BUGGE Martin | 61 |
| 5 | GAMPER Patrick | 80 |
| 6 | OTRUBA Jakub | 75 |
| 7 | EEKHOFF Nils | 75 |
| 8 | BOSTOCK Matthew | 69 |
| 9 | GAMPER Florian | 86 |
| 10 | DALLA VALLE Nicolas | 73 |
| 11 | STOKBRO Andreas | 70 |
| 12 | FROIDEVAUX Robin | 71 |
| 14 | COLNAGHI Luca | 63 |