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 = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Blum
7
68 kgStedman
8
63 kgDe Cassan
9
61 kgPellizzari
10
66 kgGlivar
11
64 kg
7
68 kgStedman
8
63 kgDe Cassan
9
61 kgPellizzari
10
66 kgGlivar
11
64 kg
Weight (KG) →
Result →
68
61
7
11
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | BLUM Elia | 68 |
| 8 | STEDMAN Travis | 63 |
| 9 | DE CASSAN Davide | 61 |
| 10 | PELLIZZARI Giulio | 66 |
| 11 | GLIVAR Gal | 64 |