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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Jungels
1
70 kgWatson
2
72 kgBongiorno
3
56 kgVillella
5
66 kgPolanc
6
62 kgAru
7
63 kg
1
70 kgWatson
2
72 kgBongiorno
3
56 kgVillella
5
66 kgPolanc
6
62 kgAru
7
63 kg
Weight (KG) →
Result →
72
56
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JUNGELS Bob | 70 |
| 2 | WATSON Calvin | 72 |
| 3 | BONGIORNO Francesco Manuel | 56 |
| 5 | VILLELLA Davide | 66 |
| 6 | POLANC Jan | 62 |
| 7 | ARU Fabio | 63 |