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 = -0.7 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Mareczko
1
67 kgMarini
2
72 kgAberasturi
3
69 kgMuzychkin
4
76 kgButs
5
68 kgGiraud
6
71 kgBoivin
7
78 kgAlzate
8
74 kgRäim
11
69 kgBazhkou
12
65 kgLaas
13
76 kgVasylyuk
16
65 kgTzortzakis
17
80 kgCastillo
18
72 kgHaedo
19
64 kgHill
21
67 kgEinhorn
24
72 kgGroves
26
76 kgPrevar
27
64 kgKuboki
28
68 kgVillegas
30
73 kgPacher
31
62 kgNazaret
34
65 kgSolomon
37
66 kg
1
67 kgMarini
2
72 kgAberasturi
3
69 kgMuzychkin
4
76 kgButs
5
68 kgGiraud
6
71 kgBoivin
7
78 kgAlzate
8
74 kgRäim
11
69 kgBazhkou
12
65 kgLaas
13
76 kgVasylyuk
16
65 kgTzortzakis
17
80 kgCastillo
18
72 kgHaedo
19
64 kgHill
21
67 kgEinhorn
24
72 kgGroves
26
76 kgPrevar
27
64 kgKuboki
28
68 kgVillegas
30
73 kgPacher
31
62 kgNazaret
34
65 kgSolomon
37
66 kg
Weight (KG) →
Result →
80
62
1
37
# | Rider | Weight (KG) |
---|---|---|
1 | MARECZKO Jakub | 67 |
2 | MARINI Nicolas | 72 |
3 | ABERASTURI Jon | 69 |
4 | MUZYCHKIN Anton | 76 |
5 | BUTS Vitaliy | 68 |
6 | GIRAUD Benjamin | 71 |
7 | BOIVIN Guillaume | 78 |
8 | ALZATE Carlos | 74 |
11 | RÄIM Mihkel | 69 |
12 | BAZHKOU Stanislau | 65 |
13 | LAAS Martin | 76 |
16 | VASYLYUK Andriy | 65 |
17 | TZORTZAKIS Polychronis | 80 |
18 | CASTILLO Ulises Alfredo | 72 |
19 | HAEDO Lucas Sebastián | 64 |
21 | HILL Benjamin | 67 |
24 | EINHORN Itamar | 72 |
26 | GROVES Kaden | 76 |
27 | PREVAR Oleksandr | 64 |
28 | KUBOKI Kazushige | 68 |
30 | VILLEGAS Juan Pablo | 73 |
31 | PACHER Quentin | 62 |
34 | NAZARET Magno | 65 |
37 | SOLOMON Zemenfes | 66 |