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 + 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Vos
1
58 kgJohansson
3
58 kgMustonen
5
58 kgMelchers
8
59 kgGunnewijk
9
67 kgSlappendel
13
67 kgvan Vleuten
14
59 kgEnsing
20
62 kgVisser
21
59 kgvan der Breggen
22
56 kgvan den Broek-Blaak
23
64 kgLaws
24
54 kgKoedooder
25
69 kgWild
32
75 kgMartin
35
57 kgDe Vocht
37
61 kgBrand
41
57 kgHosking
56
60 kg
1
58 kgJohansson
3
58 kgMustonen
5
58 kgMelchers
8
59 kgGunnewijk
9
67 kgSlappendel
13
67 kgvan Vleuten
14
59 kgEnsing
20
62 kgVisser
21
59 kgvan der Breggen
22
56 kgvan den Broek-Blaak
23
64 kgLaws
24
54 kgKoedooder
25
69 kgWild
32
75 kgMartin
35
57 kgDe Vocht
37
61 kgBrand
41
57 kgHosking
56
60 kg
Weight (KG) →
Result →
75
54
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 3 | JOHANSSON Emma | 58 |
| 5 | MUSTONEN Sara | 58 |
| 8 | MELCHERS Mirjam | 59 |
| 9 | GUNNEWIJK Loes | 67 |
| 13 | SLAPPENDEL Iris | 67 |
| 14 | VAN VLEUTEN Annemiek | 59 |
| 20 | ENSING Janneke | 62 |
| 21 | VISSER Adrie | 59 |
| 22 | VAN DER BREGGEN Anna | 56 |
| 23 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 24 | LAWS Sharon | 54 |
| 25 | KOEDOODER Vera | 69 |
| 32 | WILD Kirsten | 75 |
| 35 | MARTIN Lucy | 57 |
| 37 | DE VOCHT Liesbet | 61 |
| 41 | BRAND Lucinda | 57 |
| 56 | HOSKING Chloe | 60 |