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 - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Garmendia
1
68 kgOlano
2
70 kgZarrabeitia
3
63 kgGamito
4
66 kgDomínguez
5
64 kgMøller
7
70 kgUllrich
8
73 kg
1
68 kgOlano
2
70 kgZarrabeitia
3
63 kgGamito
4
66 kgDomínguez
5
64 kgMøller
7
70 kgUllrich
8
73 kg
Weight (KG) →
Result →
73
63
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARMENDIA Aitor | 68 |
| 2 | OLANO Abraham | 70 |
| 3 | ZARRABEITIA Mikel | 63 |
| 4 | GAMITO Vitor | 66 |
| 5 | DOMÍNGUEZ Juan Carlos | 64 |
| 7 | MØLLER Claus Michael | 70 |
| 8 | ULLRICH Jan | 73 |