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 = 0.8 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Vos
1
58 kgJohansson
3
58 kgMustonen
4
58 kgde Baat
5
56 kgKessler
7
60 kgArzuffi
8
52 kgKoedooder
9
69 kgGunnewijk
15
67 kgKnauer
16
60 kgNilsson
23
58 kgLichtenberg
25
52 kgSlappendel
31
67 kgEdmondson
34
66 kgElvin
35
63 kgKuijpers
37
73 kgEnsing
43
62 kgvan der Breggen
45
56 kgMarkus
46
61 kgStijns
50
61 kg
1
58 kgJohansson
3
58 kgMustonen
4
58 kgde Baat
5
56 kgKessler
7
60 kgArzuffi
8
52 kgKoedooder
9
69 kgGunnewijk
15
67 kgKnauer
16
60 kgNilsson
23
58 kgLichtenberg
25
52 kgSlappendel
31
67 kgEdmondson
34
66 kgElvin
35
63 kgKuijpers
37
73 kgEnsing
43
62 kgvan der Breggen
45
56 kgMarkus
46
61 kgStijns
50
61 kg
Weight (KG) →
Result →
73
52
1
50
# | Rider | Weight (KG) |
---|---|---|
1 | VOS Marianne | 58 |
3 | JOHANSSON Emma | 58 |
4 | MUSTONEN Sara | 58 |
5 | DE BAAT Kim | 56 |
7 | KESSLER Nina | 60 |
8 | ARZUFFI Alice Maria | 52 |
9 | KOEDOODER Vera | 69 |
15 | GUNNEWIJK Loes | 67 |
16 | KNAUER Anna | 60 |
23 | NILSSON Hanna | 58 |
25 | LICHTENBERG Claudia | 52 |
31 | SLAPPENDEL Iris | 67 |
34 | EDMONDSON Annette | 66 |
35 | ELVIN Gracie | 63 |
37 | KUIJPERS Evy | 73 |
43 | ENSING Janneke | 62 |
45 | VAN DER BREGGEN Anna | 56 |
46 | MARKUS Riejanne | 61 |
50 | STIJNS Kyara | 61 |