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 = 0.1 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Lahsaini
1
77 kgMansouri
5
66 kgDebesay
6
64 kgBourgeois
23
61 kgBosch
33
76 kg
1
77 kgMansouri
5
66 kgDebesay
6
64 kgBourgeois
23
61 kgBosch
33
76 kg
Weight (KG) →
Result →
77
61
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAHSAINI Mouhssine | 77 |
| 5 | MANSOURI Abderrahmane | 66 |
| 6 | DEBESAY Mekseb | 64 |
| 23 | BOURGEOIS Guillaume | 61 |
| 33 | BOSCH Manuel | 76 |