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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Gesbert
2
63 kgCavagna
5
78 kgLeplingard
6
68 kgLecroq
9
70 kgMaitre
19
71 kgThomas
22
68 kg
2
63 kgCavagna
5
78 kgLeplingard
6
68 kgLecroq
9
70 kgMaitre
19
71 kgThomas
22
68 kg
Weight (KG) →
Result →
78
63
2
22
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GESBERT Élie | 63 |
| 5 | CAVAGNA Rémi | 78 |
| 6 | LEPLINGARD Antoine | 68 |
| 9 | LECROQ Jérémy | 70 |
| 19 | MAITRE Florian | 71 |
| 22 | THOMAS Benjamin | 68 |