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 - 14
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
De Gendt
7
51 kgMartinet
12
66 kgShcherbatskyi
15
60 kgHincapie
16
68 kgVerdonck
17
63 kgNoval
18
72 kg
7
51 kgMartinet
12
66 kgShcherbatskyi
15
60 kgHincapie
16
68 kgVerdonck
17
63 kgNoval
18
72 kg
Weight (KG) →
Result →
72
51
7
18
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | DE GENDT Leander | 51 |
| 12 | MARTINET Valentin | 66 |
| 15 | SHCHERBATSKYI Maksym | 60 |
| 16 | HINCAPIE Enzo | 68 |
| 17 | VERDONCK Thomas | 63 |
| 18 | NOVAL Benjamín | 72 |