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 = -1.4 * weight + 85
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Le Floc'h
1
59 kgPitel
4
52 kgSalvetat
5
55 kgFerrier-Bruneau
20
53 kg
1
59 kgPitel
4
52 kgSalvetat
5
55 kgFerrier-Bruneau
20
53 kg
Weight (KG) →
Result →
59
52
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LE FLOC'H Magali | 59 |
| 4 | PITEL Edwige | 52 |
| 5 | SALVETAT Maryline | 55 |
| 20 | FERRIER-BRUNEAU Christel | 53 |