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 = 1 * weight - 49
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Ferrier-Bruneau
4
53 kgPitel
5
52 kgCordon-Ragot
6
60 kgBiannic
14
64 kgJeuland-Tranchant
17
61 kgFournier
21
60 kg
4
53 kgPitel
5
52 kgCordon-Ragot
6
60 kgBiannic
14
64 kgJeuland-Tranchant
17
61 kgFournier
21
60 kg
Weight (KG) →
Result →
64
52
4
21
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | FERRIER-BRUNEAU Christel | 53 |
| 5 | PITEL Edwige | 52 |
| 6 | CORDON-RAGOT Audrey | 60 |
| 14 | BIANNIC Aude | 64 |
| 17 | JEULAND-TRANCHANT Pascale | 61 |
| 21 | FOURNIER Roxane | 60 |