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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Glivar
2
64 kgPellizzari
3
66 kgDe Cassan
8
61 kgBlum
11
68 kgStedman
13
63 kg
2
64 kgPellizzari
3
66 kgDe Cassan
8
61 kgBlum
11
68 kgStedman
13
63 kg
Weight (KG) →
Result →
68
61
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GLIVAR Gal | 64 |
| 3 | PELLIZZARI Giulio | 66 |
| 8 | DE CASSAN Davide | 61 |
| 11 | BLUM Elia | 68 |
| 13 | STEDMAN Travis | 63 |