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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
van der Poel
1
75 kgWachter
4
72 kgKomin
5
63 kgKurianov
8
74 kgVan Hooydonck
10
78 kgOomen
13
65 kgWirtgen
14
77 kg
1
75 kgWachter
4
72 kgKomin
5
63 kgKurianov
8
74 kgVan Hooydonck
10
78 kgOomen
13
65 kgWirtgen
14
77 kg
Weight (KG) →
Result →
78
63
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Mathieu | 75 |
| 4 | WACHTER Alexander | 72 |
| 5 | KOMIN Aleksandr | 63 |
| 8 | KURIANOV Stepan | 74 |
| 10 | VAN HOOYDONCK Nathan | 78 |
| 13 | OOMEN Sam | 65 |
| 14 | WIRTGEN Tom | 77 |