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 - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Pellizzari
1
66 kgGlivar
2
62 kgPijnenburg
5
60 kgDe Cassan
8
61 kgBlum
13
68 kgStedman
14
63 kgKretschy
16
63 kg
1
66 kgGlivar
2
62 kgPijnenburg
5
60 kgDe Cassan
8
61 kgBlum
13
68 kgStedman
14
63 kgKretschy
16
63 kg
Weight (KG) →
Result →
68
60
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PELLIZZARI Giulio | 66 |
| 2 | GLIVAR Gal | 62 |
| 5 | PIJNENBURG Sven | 60 |
| 8 | DE CASSAN Davide | 61 |
| 13 | BLUM Elia | 68 |
| 14 | STEDMAN Travis | 63 |
| 16 | KRETSCHY Moritz | 63 |