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 + 114
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Barry
1
77 kgShcherbatskyi
26
60 kgNisbett
28
61 kgBaldie
37
68 kgDe Gendt
42
51 kgHendrikx
45
63 kg
1
77 kgShcherbatskyi
26
60 kgNisbett
28
61 kgBaldie
37
68 kgDe Gendt
42
51 kgHendrikx
45
63 kg
Weight (KG) →
Result →
77
51
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARRY Ashlin | 77 |
| 26 | SHCHERBATSKYI Maksym | 60 |
| 28 | NISBETT Oscar | 61 |
| 37 | BALDIE Jack | 68 |
| 42 | DE GENDT Leander | 51 |
| 45 | HENDRIKX Juul | 63 |