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 = 0.3 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Lahsaini
4
77 kgSaidi
9
68 kgDebesay
11
64 kgMansouri
18
66 kgBourgeois
47
61 kgBosch
67
76 kg
4
77 kgSaidi
9
68 kgDebesay
11
64 kgMansouri
18
66 kgBourgeois
47
61 kgBosch
67
76 kg
Weight (KG) →
Result →
77
61
4
67
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | LAHSAINI Mouhssine | 77 |
| 9 | SAIDI Nassim | 68 |
| 11 | DEBESAY Mekseb | 64 |
| 18 | MANSOURI Abderrahmane | 66 |
| 47 | BOURGEOIS Guillaume | 61 |
| 67 | BOSCH Manuel | 76 |