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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Cabello
2
72 kgFagnini
3
70 kgvan der Poel
4
70 kgOlano
5
70 kgEdo
6
64 kgCasagrande
7
64 kgvan Heeswijk
10
73 kg
2
72 kgFagnini
3
70 kgvan der Poel
4
70 kgOlano
5
70 kgEdo
6
64 kgCasagrande
7
64 kgvan Heeswijk
10
73 kg
Weight (KG) →
Result →
73
64
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CABELLO Francisco | 72 |
| 3 | FAGNINI Gian Matteo | 70 |
| 4 | VAN DER POEL Adrie | 70 |
| 5 | OLANO Abraham | 70 |
| 6 | EDO Ángel | 64 |
| 7 | CASAGRANDE Francesco | 64 |
| 10 | VAN HEESWIJK Max | 73 |