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 = -1.7 * weight + 119
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Mauri
2
68 kgBaguet
3
67 kgVirenque
4
65 kgRobin
6
63 kgMejia
15
63 kg
2
68 kgBaguet
3
67 kgVirenque
4
65 kgRobin
6
63 kgMejia
15
63 kg
Weight (KG) →
Result →
68
63
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAURI Melchor | 68 |
| 3 | BAGUET Serge | 67 |
| 4 | VIRENQUE Richard | 65 |
| 6 | ROBIN Jean-Cyril | 63 |
| 15 | MEJIA Alvaro | 63 |