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 = 0.7 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Cordon-Ragot
1
60 kgVerhulst-Wild
2
58 kgCopponi
3
55 kgDuval
6
53 kgAllin
8
58 kgGrossetête
10
60 kgFouquenet
13
60 kgPetit
14
53 kgLabous
22
54 kgKerbaol
26
57 kgFournier
31
60 kgMorichon
35
56 kgBiannic
36
64 kgPitel
40
52 kgLaurance
44
62 kgHoudin
45
61 kgCurinier
47
53 kgVigié
52
58 kgPomares
53
63 kgFortin
55
55 kgBerteau
59
57 kg
1
60 kgVerhulst-Wild
2
58 kgCopponi
3
55 kgDuval
6
53 kgAllin
8
58 kgGrossetête
10
60 kgFouquenet
13
60 kgPetit
14
53 kgLabous
22
54 kgKerbaol
26
57 kgFournier
31
60 kgMorichon
35
56 kgBiannic
36
64 kgPitel
40
52 kgLaurance
44
62 kgHoudin
45
61 kgCurinier
47
53 kgVigié
52
58 kgPomares
53
63 kgFortin
55
55 kgBerteau
59
57 kg
Weight (KG) →
Result →
64
52
1
59
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORDON-RAGOT Audrey | 60 |
| 2 | VERHULST-WILD Gladys | 58 |
| 3 | COPPONI Clara | 55 |
| 6 | DUVAL Eugénie | 53 |
| 8 | ALLIN Pauline | 58 |
| 10 | GROSSETÊTE Maëlle | 60 |
| 13 | FOUQUENET Amandine | 60 |
| 14 | PETIT Marlene | 53 |
| 22 | LABOUS Juliette | 54 |
| 26 | KERBAOL Cédrine | 57 |
| 31 | FOURNIER Roxane | 60 |
| 35 | MORICHON Anaïs | 56 |
| 36 | BIANNIC Aude | 64 |
| 40 | PITEL Edwige | 52 |
| 44 | LAURANCE Typhaine | 62 |
| 45 | HOUDIN Coralie | 61 |
| 47 | CURINIER Léa | 53 |
| 52 | VIGIÉ Margaux | 58 |
| 53 | POMARES Cindy | 63 |
| 55 | FORTIN Valentine | 55 |
| 59 | BERTEAU Victoire | 57 |