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 = -0.5 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Lahsaini
9
77 kgMansouri
14
66 kgDebesay
25
64 kgBourgeois
30
61 kgBosch
31
76 kg
9
77 kgMansouri
14
66 kgDebesay
25
64 kgBourgeois
30
61 kgBosch
31
76 kg
Weight (KG) →
Result →
77
61
9
31
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | LAHSAINI Mouhssine | 77 |
| 14 | MANSOURI Abderrahmane | 66 |
| 25 | DEBESAY Mekseb | 64 |
| 30 | BOURGEOIS Guillaume | 61 |
| 31 | BOSCH Manuel | 76 |