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 - 8
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Vos
1
58 kgVisser
2
59 kgJohansson
3
58 kgMajerus
5
56 kgLongo Borghini
6
59 kgvan Vleuten
8
59 kgStevens
9
55 kgAmialiusik
13
53 kgvan der Breggen
14
56 kgLópez
15
54 kgFerrier-Bruneau
16
53 kgFerrand-Prévot
17
53 kgGuarnier
18
54 kgMustonen
19
58 kgBrand
22
57 kgEdmondson
23
66 kgMarche
24
58 kgBrennauer
25
63 kg
1
58 kgVisser
2
59 kgJohansson
3
58 kgMajerus
5
56 kgLongo Borghini
6
59 kgvan Vleuten
8
59 kgStevens
9
55 kgAmialiusik
13
53 kgvan der Breggen
14
56 kgLópez
15
54 kgFerrier-Bruneau
16
53 kgFerrand-Prévot
17
53 kgGuarnier
18
54 kgMustonen
19
58 kgBrand
22
57 kgEdmondson
23
66 kgMarche
24
58 kgBrennauer
25
63 kg
Weight (KG) →
Result →
66
53
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 2 | VISSER Adrie | 59 |
| 3 | JOHANSSON Emma | 58 |
| 5 | MAJERUS Christine | 56 |
| 6 | LONGO BORGHINI Elisa | 59 |
| 8 | VAN VLEUTEN Annemiek | 59 |
| 9 | STEVENS Evelyn | 55 |
| 13 | AMIALIUSIK Alena | 53 |
| 14 | VAN DER BREGGEN Anna | 56 |
| 15 | LÓPEZ Belén | 54 |
| 16 | FERRIER-BRUNEAU Christel | 53 |
| 17 | FERRAND-PRÉVOT Pauline | 53 |
| 18 | GUARNIER Megan | 54 |
| 19 | MUSTONEN Sara | 58 |
| 22 | BRAND Lucinda | 57 |
| 23 | EDMONDSON Annette | 66 |
| 24 | MARCHE Shara | 58 |
| 25 | BRENNAUER Lisa | 63 |