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 = -0.2 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
van Vleuten
1
59 kgvan Dijk
2
71 kgVos
3
58 kgvan den Broek-Blaak
4
64 kgvan der Breggen
5
56 kgKoedooder
6
69 kgGunnewijk
8
67 kgSlappendel
9
67 kgde Vries
11
62 kgBrand
12
57 kgStultiens
13
58 kgPieters
14
58 kgRooijakkers
15
58 kgMackaij
16
57 kgKoster
19
56 kgKessler
21
60 kgKuijpers
34
73 kgKaptheijns
35
53 kg
1
59 kgvan Dijk
2
71 kgVos
3
58 kgvan den Broek-Blaak
4
64 kgvan der Breggen
5
56 kgKoedooder
6
69 kgGunnewijk
8
67 kgSlappendel
9
67 kgde Vries
11
62 kgBrand
12
57 kgStultiens
13
58 kgPieters
14
58 kgRooijakkers
15
58 kgMackaij
16
57 kgKoster
19
56 kgKessler
21
60 kgKuijpers
34
73 kgKaptheijns
35
53 kg
Weight (KG) →
Result →
73
53
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN VLEUTEN Annemiek | 59 |
| 2 | VAN DIJK Ellen | 71 |
| 3 | VOS Marianne | 58 |
| 4 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 5 | VAN DER BREGGEN Anna | 56 |
| 6 | KOEDOODER Vera | 69 |
| 8 | GUNNEWIJK Loes | 67 |
| 9 | SLAPPENDEL Iris | 67 |
| 11 | DE VRIES Marijn | 62 |
| 12 | BRAND Lucinda | 57 |
| 13 | STULTIENS Sabrina | 58 |
| 14 | PIETERS Amy | 58 |
| 15 | ROOIJAKKERS Pauliena | 58 |
| 16 | MACKAIJ Floortje | 57 |
| 19 | KOSTER Anouska | 56 |
| 21 | KESSLER Nina | 60 |
| 34 | KUIJPERS Evy | 73 |
| 35 | KAPTHEIJNS Maud | 53 |