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 + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Markov
2
80 kgPasamontes
6
72 kgPortal
8
70 kgPérez
10
70 kgFerrío
11
51 kgDueñas
12
61 kg
2
80 kgPasamontes
6
72 kgPortal
8
70 kgPérez
10
70 kgFerrío
11
51 kgDueñas
12
61 kg
Weight (KG) →
Result →
80
51
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MARKOV Alexei | 80 |
| 6 | PASAMONTES Luis | 72 |
| 8 | PORTAL Nicolas | 70 |
| 10 | PÉREZ Aitor | 70 |
| 11 | FERRÍO Jorge | 51 |
| 12 | DUEÑAS Moisés | 61 |