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 = -0.4 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Barry
13
77 kgDe Gendt
17
51 kgShcherbatskyi
42
60 kgNisbett
58
61 kgHendrikx
69
63 kg
13
77 kgDe Gendt
17
51 kgShcherbatskyi
42
60 kgNisbett
58
61 kgHendrikx
69
63 kg
Weight (KG) →
Result →
77
51
13
69
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | BARRY Ashlin | 77 |
| 17 | DE GENDT Leander | 51 |
| 42 | SHCHERBATSKYI Maksym | 60 |
| 58 | NISBETT Oscar | 61 |
| 69 | HENDRIKX Juul | 63 |