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 + 50
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Bosch
2
76 kgDebesay
4
64 kgMansouri
13
66 kgLahsaini
19
77 kgBourgeois
29
61 kg
2
76 kgDebesay
4
64 kgMansouri
13
66 kgLahsaini
19
77 kgBourgeois
29
61 kg
Weight (KG) →
Result →
77
61
2
29
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOSCH Manuel | 76 |
| 4 | DEBESAY Mekseb | 64 |
| 13 | MANSOURI Abderrahmane | 66 |
| 19 | LAHSAINI Mouhssine | 77 |
| 29 | BOURGEOIS Guillaume | 61 |