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 = -0.6 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
van Dijk
1
71 kgVos
2
58 kgWiebes
3
60 kgReusser
4
70 kgJackson
5
63 kgKlein
6
61 kgvan den Broek-Blaak
7
64 kgNorsgaard
8
65 kgGrossetête
9
60 kgBalsamo
13
55 kgGuarischi
14
57 kgVollering
15
57 kgKoster
16
56 kgMajerus
17
56 kgWood
18
59 kgRoy
19
66 kgGuazzini
20
65 kgNorman Leth
21
68 kgBastianelli
22
60 kgvan der Hulst
24
66 kgCopponi
26
55 kgPieters
27
58 kgDuval
28
53 kg
1
71 kgVos
2
58 kgWiebes
3
60 kgReusser
4
70 kgJackson
5
63 kgKlein
6
61 kgvan den Broek-Blaak
7
64 kgNorsgaard
8
65 kgGrossetête
9
60 kgBalsamo
13
55 kgGuarischi
14
57 kgVollering
15
57 kgKoster
16
56 kgMajerus
17
56 kgWood
18
59 kgRoy
19
66 kgGuazzini
20
65 kgNorman Leth
21
68 kgBastianelli
22
60 kgvan der Hulst
24
66 kgCopponi
26
55 kgPieters
27
58 kgDuval
28
53 kg
Weight (KG) →
Result →
71
53
1
28
# | Rider | Weight (KG) |
---|---|---|
1 | VAN DIJK Ellen | 71 |
2 | VOS Marianne | 58 |
3 | WIEBES Lorena | 60 |
4 | REUSSER Marlen | 70 |
5 | JACKSON Alison | 63 |
6 | KLEIN Lisa | 61 |
7 | VAN DEN BROEK-BLAAK Chantal | 64 |
8 | NORSGAARD Emma | 65 |
9 | GROSSETÊTE Maëlle | 60 |
13 | BALSAMO Elisa | 55 |
14 | GUARISCHI Barbara | 57 |
15 | VOLLERING Demi | 57 |
16 | KOSTER Anouska | 56 |
17 | MAJERUS Christine | 56 |
18 | WOOD Alice | 59 |
19 | ROY Sarah | 66 |
20 | GUAZZINI Vittoria | 65 |
21 | NORMAN LETH Julie | 68 |
22 | BASTIANELLI Marta | 60 |
24 | VAN DER HULST Amber | 66 |
26 | COPPONI Clara | 55 |
27 | PIETERS Amy | 58 |
28 | DUVAL Eugénie | 53 |