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 = 0.4 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Cordon-Ragot
1
60 kgVerhulst-Wild
2
58 kgVigié
4
58 kgDuval
5
53 kgGrossetête
9
60 kgBerteau
10
57 kgFournier
11
60 kgMorichon
13
56 kgCurinier
14
53 kgBiannic
15
64 kgLabous
17
54 kgJounier
19
58 kgFouquenet
20
60 kgJoncheray
22
55 kgLaurance
24
62 kgCopponi
26
55 kgPomares
36
63 kgAllin
39
58 kgKerbaol
48
57 kg
1
60 kgVerhulst-Wild
2
58 kgVigié
4
58 kgDuval
5
53 kgGrossetête
9
60 kgBerteau
10
57 kgFournier
11
60 kgMorichon
13
56 kgCurinier
14
53 kgBiannic
15
64 kgLabous
17
54 kgJounier
19
58 kgFouquenet
20
60 kgJoncheray
22
55 kgLaurance
24
62 kgCopponi
26
55 kgPomares
36
63 kgAllin
39
58 kgKerbaol
48
57 kg
Weight (KG) →
Result →
64
53
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORDON-RAGOT Audrey | 60 |
| 2 | VERHULST-WILD Gladys | 58 |
| 4 | VIGIÉ Margaux | 58 |
| 5 | DUVAL Eugénie | 53 |
| 9 | GROSSETÊTE Maëlle | 60 |
| 10 | BERTEAU Victoire | 57 |
| 11 | FOURNIER Roxane | 60 |
| 13 | MORICHON Anaïs | 56 |
| 14 | CURINIER Léa | 53 |
| 15 | BIANNIC Aude | 64 |
| 17 | LABOUS Juliette | 54 |
| 19 | JOUNIER Lucie | 58 |
| 20 | FOUQUENET Amandine | 60 |
| 22 | JONCHERAY Victoire | 55 |
| 24 | LAURANCE Typhaine | 62 |
| 26 | COPPONI Clara | 55 |
| 36 | POMARES Cindy | 63 |
| 39 | ALLIN Pauline | 58 |
| 48 | KERBAOL Cédrine | 57 |