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 = -1.3 * weight + 107
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Barry
6
77 kgShcherbatskyi
23
60 kgNisbett
26
61 kgDe Gendt
41
51 kgHendrikx
47
63 kg
6
77 kgShcherbatskyi
23
60 kgNisbett
26
61 kgDe Gendt
41
51 kgHendrikx
47
63 kg
Weight (KG) →
Result →
77
51
6
47
# | Rider | Weight (KG) |
---|---|---|
6 | BARRY Ashlin | 77 |
23 | SHCHERBATSKYI Maksym | 60 |
26 | NISBETT Oscar | 61 |
41 | DE GENDT Leander | 51 |
47 | HENDRIKX Juul | 63 |