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 = -0.2 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Jeuland-Tranchant
4
61 kgLe Floc'h
7
59 kgSalvetat
16
55 kgPitel
17
52 kgFerrier-Bruneau
20
53 kgHalbwachs
29
62 kg
4
61 kgLe Floc'h
7
59 kgSalvetat
16
55 kgPitel
17
52 kgFerrier-Bruneau
20
53 kgHalbwachs
29
62 kg
Weight (KG) →
Result →
62
52
4
29
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | JEULAND-TRANCHANT Pascale | 61 |
| 7 | LE FLOC'H Magali | 59 |
| 16 | SALVETAT Maryline | 55 |
| 17 | PITEL Edwige | 52 |
| 20 | FERRIER-BRUNEAU Christel | 53 |
| 29 | HALBWACHS Aurelie | 62 |