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 = 0.6 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Pijnenburg
3
60 kgGlivar
6
64 kgPellizzari
7
66 kgDe Cassan
11
61 kgBlum
14
68 kgStedman
16
63 kg
3
60 kgGlivar
6
64 kgPellizzari
7
66 kgDe Cassan
11
61 kgBlum
14
68 kgStedman
16
63 kg
Weight (KG) →
Result →
68
60
3
16
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PIJNENBURG Sven | 60 |
| 6 | GLIVAR Gal | 64 |
| 7 | PELLIZZARI Giulio | 66 |
| 11 | DE CASSAN Davide | 61 |
| 14 | BLUM Elia | 68 |
| 16 | STEDMAN Travis | 63 |