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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
van der Poel
1
75 kgRajović
2
74 kgFouché
3
71 kgvan der Kooij
4
70 kgDe Bondt
5
73 kgLonardi
6
70 kgGazzoli
7
76 kg
1
75 kgRajović
2
74 kgFouché
3
71 kgvan der Kooij
4
70 kgDe Bondt
5
73 kgLonardi
6
70 kgGazzoli
7
76 kg
Weight (KG) →
Result →
76
70
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Mathieu | 75 |
| 2 | RAJOVIĆ Dušan | 74 |
| 3 | FOUCHÉ James | 71 |
| 4 | VAN DER KOOIJ Bas | 70 |
| 5 | DE BONDT Dries | 73 |
| 6 | LONARDI Giovanni | 70 |
| 7 | GAZZOLI Michele | 76 |