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 = -0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
De Wilde
1
75 kgHennequin
2
64 kgDe Vylder
3
70 kgRosskopf
4
74 kgTouzé
5
69 kgBarré
6
68 kgCardis
7
72 kgPeyskens
8
69 kgVan Avermaet
9
74 kgBurgaudeau
10
61 kgMadrazo
11
61 kgGuégan
12
71 kgFerasse
13
61 kgLarsen
14
74 kgTizza
15
58 kgTurgis
16
70 kgLapeira
17
64 kgSánchez
18
64 kgMorice
19
81 kgLivyns
20
58 kgSwift
21
75 kgBarthe
22
70 kgHuppertz
23
66 kgManzin
24
69 kg
1
75 kgHennequin
2
64 kgDe Vylder
3
70 kgRosskopf
4
74 kgTouzé
5
69 kgBarré
6
68 kgCardis
7
72 kgPeyskens
8
69 kgVan Avermaet
9
74 kgBurgaudeau
10
61 kgMadrazo
11
61 kgGuégan
12
71 kgFerasse
13
61 kgLarsen
14
74 kgTizza
15
58 kgTurgis
16
70 kgLapeira
17
64 kgSánchez
18
64 kgMorice
19
81 kgLivyns
20
58 kgSwift
21
75 kgBarthe
22
70 kgHuppertz
23
66 kgManzin
24
69 kg
Weight (KG) →
Result →
81
58
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | DE WILDE Gilles | 75 |
2 | HENNEQUIN Paul | 64 |
3 | DE VYLDER Lindsay | 70 |
4 | ROSSKOPF Joey | 74 |
5 | TOUZÉ Damien | 69 |
6 | BARRÉ Louis | 68 |
7 | CARDIS Romain | 72 |
8 | PEYSKENS Dimitri | 69 |
9 | VAN AVERMAET Greg | 74 |
10 | BURGAUDEAU Mathieu | 61 |
11 | MADRAZO Ángel | 61 |
12 | GUÉGAN Maël | 71 |
13 | FERASSE Thibault | 61 |
14 | LARSEN Niklas | 74 |
15 | TIZZA Marco | 58 |
16 | TURGIS Anthony | 70 |
17 | LAPEIRA Paul | 64 |
18 | SÁNCHEZ Eugenio | 64 |
19 | MORICE Julien | 81 |
20 | LIVYNS Arjen | 58 |
21 | SWIFT Connor | 75 |
22 | BARTHE Cyril | 70 |
23 | HUPPERTZ Joshua | 66 |
24 | MANZIN Lorrenzo | 69 |