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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Serpellini
1
75 kgHesjedal
2
73 kgDevolder
3
72 kgHøj
5
80 kgMahorič
6
68 kgCalcagni
7
65 kgKohl
10
61 kgPronk
11
73 kg
1
75 kgHesjedal
2
73 kgDevolder
3
72 kgHøj
5
80 kgMahorič
6
68 kgCalcagni
7
65 kgKohl
10
61 kgPronk
11
73 kg
Weight (KG) →
Result →
80
61
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SERPELLINI Marco | 75 |
| 2 | HESJEDAL Ryder | 73 |
| 3 | DEVOLDER Stijn | 72 |
| 5 | HØJ Frank | 80 |
| 6 | MAHORIČ Mitja | 68 |
| 7 | CALCAGNI Patrick | 65 |
| 10 | KOHL Bernhard | 61 |
| 11 | PRONK Matthé | 73 |