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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Goss
1
70 kgDocker
2
73 kgPerget
3
64 kgGreipel
4
80 kgClarke
5
63 kgMínguez
6
59 kgMcEwen
7
67 kg
1
70 kgDocker
2
73 kgPerget
3
64 kgGreipel
4
80 kgClarke
5
63 kgMínguez
6
59 kgMcEwen
7
67 kg
Weight (KG) →
Result →
80
59
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOSS Matthew | 70 |
| 2 | DOCKER Mitchell | 73 |
| 3 | PERGET Mathieu | 64 |
| 4 | GREIPEL André | 80 |
| 5 | CLARKE Simon | 63 |
| 6 | MÍNGUEZ Miguel | 59 |
| 7 | MCEWEN Robbie | 67 |