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 = -0.6 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Debesay
3
64 kgLahsaini
7
77 kgBosch
28
76 kgMansouri
33
66 kgBourgeois
37
61 kg
3
64 kgLahsaini
7
77 kgBosch
28
76 kgMansouri
33
66 kgBourgeois
37
61 kg
Weight (KG) →
Result →
77
61
3
37
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DEBESAY Mekseb | 64 |
| 7 | LAHSAINI Mouhssine | 77 |
| 28 | BOSCH Manuel | 76 |
| 33 | MANSOURI Abderrahmane | 66 |
| 37 | BOURGEOIS Guillaume | 61 |