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 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Vos
1
58 kgJohansson
2
58 kgVisser
3
59 kgLongo Borghini
4
59 kgMajerus
6
56 kgStevens
7
55 kgvan der Breggen
9
56 kgAmialiusik
10
53 kgvan Vleuten
11
59 kgvan Dijk
15
71 kgFerrand-Prévot
16
53 kgGuarnier
17
54 kgLópez
18
54 kgBrennauer
19
63 kgFerrier-Bruneau
20
53 kgMarche
21
58 kgMustonen
22
58 kgBrand
25
57 kg
1
58 kgJohansson
2
58 kgVisser
3
59 kgLongo Borghini
4
59 kgMajerus
6
56 kgStevens
7
55 kgvan der Breggen
9
56 kgAmialiusik
10
53 kgvan Vleuten
11
59 kgvan Dijk
15
71 kgFerrand-Prévot
16
53 kgGuarnier
17
54 kgLópez
18
54 kgBrennauer
19
63 kgFerrier-Bruneau
20
53 kgMarche
21
58 kgMustonen
22
58 kgBrand
25
57 kg
Weight (KG) →
Result →
71
53
1
25
# | Rider | Weight (KG) |
---|---|---|
1 | VOS Marianne | 58 |
2 | JOHANSSON Emma | 58 |
3 | VISSER Adrie | 59 |
4 | LONGO BORGHINI Elisa | 59 |
6 | MAJERUS Christine | 56 |
7 | STEVENS Evelyn | 55 |
9 | VAN DER BREGGEN Anna | 56 |
10 | AMIALIUSIK Alena | 53 |
11 | VAN VLEUTEN Annemiek | 59 |
15 | VAN DIJK Ellen | 71 |
16 | FERRAND-PRÉVOT Pauline | 53 |
17 | GUARNIER Megan | 54 |
18 | LÓPEZ Belén | 54 |
19 | BRENNAUER Lisa | 63 |
20 | FERRIER-BRUNEAU Christel | 53 |
21 | MARCHE Shara | 58 |
22 | MUSTONEN Sara | 58 |
25 | BRAND Lucinda | 57 |