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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Poulhiès
1
75 kgFrapporti
2
69 kgPouilly
3
66 kgReus
4
70 kgSeynaeve
5
67 kgBagdonas
6
78 kgvan Ginneken
7
72 kg
1
75 kgFrapporti
2
69 kgPouilly
3
66 kgReus
4
70 kgSeynaeve
5
67 kgBagdonas
6
78 kgvan Ginneken
7
72 kg
Weight (KG) →
Result →
78
66
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POULHIÈS Stéphane | 75 |
| 2 | FRAPPORTI Marco | 69 |
| 3 | POUILLY Félix | 66 |
| 4 | REUS Kai | 70 |
| 5 | SEYNAEVE Lander | 67 |
| 6 | BAGDONAS Gediminas | 78 |
| 7 | VAN GINNEKEN Sjoerd | 72 |