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 = 0.7 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Debesay
2
64 kgLahsaini
5
77 kgMansouri
21
66 kgBourgeois
24
61 kgSaidi
46
68 kgBosch
53
76 kg
2
64 kgLahsaini
5
77 kgMansouri
21
66 kgBourgeois
24
61 kgSaidi
46
68 kgBosch
53
76 kg
Weight (KG) →
Result →
77
61
2
53
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DEBESAY Mekseb | 64 |
| 5 | LAHSAINI Mouhssine | 77 |
| 21 | MANSOURI Abderrahmane | 66 |
| 24 | BOURGEOIS Guillaume | 61 |
| 46 | SAIDI Nassim | 68 |
| 53 | BOSCH Manuel | 76 |