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 = -2.1 * weight + 170
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
Lahsaini
6
77 kgBosch
14
76 kgMansouri
32
66 kgDebesay
33
64 kgBourgeois
44
61 kg
6
77 kgBosch
14
76 kgMansouri
32
66 kgDebesay
33
64 kgBourgeois
44
61 kg
Weight (KG) →
Result →
77
61
6
44
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | LAHSAINI Mouhssine | 77 |
| 14 | BOSCH Manuel | 76 |
| 32 | MANSOURI Abderrahmane | 66 |
| 33 | DEBESAY Mekseb | 64 |
| 44 | BOURGEOIS Guillaume | 61 |