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 * weight + 17
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Debesay
1
64 kgLahsaini
10
77 kgBourgeois
25
61 kgBosch
29
76 kgMansouri
30
66 kg
1
64 kgLahsaini
10
77 kgBourgeois
25
61 kgBosch
29
76 kgMansouri
30
66 kg
Weight (KG) →
Result →
77
61
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEBESAY Mekseb | 64 |
| 10 | LAHSAINI Mouhssine | 77 |
| 25 | BOURGEOIS Guillaume | 61 |
| 29 | BOSCH Manuel | 76 |
| 30 | MANSOURI Abderrahmane | 66 |