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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Ferrier-Bruneau
2
53 kgLe Floc'h
3
59 kgMajerus
4
56 kgCordon-Ragot
14
60 kgPetit
16
53 kg
2
53 kgLe Floc'h
3
59 kgMajerus
4
56 kgCordon-Ragot
14
60 kgPetit
16
53 kg
Weight (KG) →
Result →
60
53
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FERRIER-BRUNEAU Christel | 53 |
| 3 | LE FLOC'H Magali | 59 |
| 4 | MAJERUS Christine | 56 |
| 14 | CORDON-RAGOT Audrey | 60 |
| 16 | PETIT Marlene | 53 |