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 = 0.9 * weight - 54
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Stubbe
2
66 kgRoche
3
70 kgBeppu
5
69 kgRousseau
6
70 kgMüller
11
69 kgFlens
12
82 kgDe Fauw
17
77 kgGreipel
19
80 kg
2
66 kgRoche
3
70 kgBeppu
5
69 kgRousseau
6
70 kgMüller
11
69 kgFlens
12
82 kgDe Fauw
17
77 kgGreipel
19
80 kg
Weight (KG) →
Result →
82
66
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STUBBE Tom | 66 |
| 3 | ROCHE Nicolas | 70 |
| 5 | BEPPU Fumiyuki | 69 |
| 6 | ROUSSEAU Nicolas | 70 |
| 11 | MÜLLER Christian | 69 |
| 12 | FLENS Rick | 82 |
| 17 | DE FAUW Dimitri | 77 |
| 19 | GREIPEL André | 80 |