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 = 2.9 * weight - 153
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
Ferrier-Bruneau
2
53 kgPitel
3
52 kgSalvetat
5
55 kgLe Floc'h
8
59 kgCordon-Ragot
22
60 kgJeuland-Tranchant
35
61 kg
2
53 kgPitel
3
52 kgSalvetat
5
55 kgLe Floc'h
8
59 kgCordon-Ragot
22
60 kgJeuland-Tranchant
35
61 kg
Weight (KG) →
Result →
61
52
2
35
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FERRIER-BRUNEAU Christel | 53 |
| 3 | PITEL Edwige | 52 |
| 5 | SALVETAT Maryline | 55 |
| 8 | LE FLOC'H Magali | 59 |
| 22 | CORDON-RAGOT Audrey | 60 |
| 35 | JEULAND-TRANCHANT Pascale | 61 |