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 = 1.8 * weight - 90
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Pitel
1
52 kgFerrier-Bruneau
4
53 kgSalvetat
5
55 kgLe Floc'h
7
59 kgJeuland-Tranchant
21
61 kg
1
52 kgFerrier-Bruneau
4
53 kgSalvetat
5
55 kgLe Floc'h
7
59 kgJeuland-Tranchant
21
61 kg
Weight (KG) →
Result →
61
52
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PITEL Edwige | 52 |
| 4 | FERRIER-BRUNEAU Christel | 53 |
| 5 | SALVETAT Maryline | 55 |
| 7 | LE FLOC'H Magali | 59 |
| 21 | JEULAND-TRANCHANT Pascale | 61 |