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 = 0.5 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Martin
1
59 kgOspina
3
62 kgSenac
5
63 kgvan Garderen
7
72 kgCusin
8
65 kgBonnafond
9
68 kgGhyselinck
10
74 kg
1
59 kgOspina
3
62 kgSenac
5
63 kgvan Garderen
7
72 kgCusin
8
65 kgBonnafond
9
68 kgGhyselinck
10
74 kg
Weight (KG) →
Result →
74
59
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTIN Dan | 59 |
| 3 | OSPINA Dalivier | 62 |
| 5 | SENAC Jean-Charles | 63 |
| 7 | VAN GARDEREN Tejay | 72 |
| 8 | CUSIN Rémi | 65 |
| 9 | BONNAFOND Guillaume | 68 |
| 10 | GHYSELINCK Jan | 74 |