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 = -0.1 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Mareczko
1
67 kgLaas
2
76 kgAberasturi
3
69 kgPage
4
64 kgFreiberg
5
82 kgLiepiņš
6
67 kgSimion
11
79 kgHill
15
67 kgButs
17
68 kgTzortzakis
18
80 kgBarbin
19
60 kgMeiler
20
65 kgAristi
21
72 kgZhupa
22
78 kgBenhamouda
23
64 kgLienhard
25
73 kgPrevar
26
64 kgde Jonge
30
65 kgCastillo
32
72 kgMaestri
33
73 kgStannard
34
74 kgRathe
35
74 kgMudgway
36
65 kg
1
67 kgLaas
2
76 kgAberasturi
3
69 kgPage
4
64 kgFreiberg
5
82 kgLiepiņš
6
67 kgSimion
11
79 kgHill
15
67 kgButs
17
68 kgTzortzakis
18
80 kgBarbin
19
60 kgMeiler
20
65 kgAristi
21
72 kgZhupa
22
78 kgBenhamouda
23
64 kgLienhard
25
73 kgPrevar
26
64 kgde Jonge
30
65 kgCastillo
32
72 kgMaestri
33
73 kgStannard
34
74 kgRathe
35
74 kgMudgway
36
65 kg
Weight (KG) →
Result →
82
60
1
36
# | Rider | Weight (KG) |
---|---|---|
1 | MARECZKO Jakub | 67 |
2 | LAAS Martin | 76 |
3 | ABERASTURI Jon | 69 |
4 | PAGE Dylan | 64 |
5 | FREIBERG Michael | 82 |
6 | LIEPIŅŠ Emīls | 67 |
11 | SIMION Paolo | 79 |
15 | HILL Benjamin | 67 |
17 | BUTS Vitaliy | 68 |
18 | TZORTZAKIS Polychronis | 80 |
19 | BARBIN Enrico | 60 |
20 | MEILER Martin | 65 |
21 | ARISTI Mikel | 72 |
22 | ZHUPA Eugert | 78 |
23 | BENHAMOUDA Mehdi | 64 |
25 | LIENHARD Fabian | 73 |
26 | PREVAR Oleksandr | 64 |
30 | DE JONGE Maarten | 65 |
32 | CASTILLO Ulises Alfredo | 72 |
33 | MAESTRI Mirco | 73 |
34 | STANNARD Robert | 74 |
35 | RATHE Jacob | 74 |
36 | MUDGWAY Luke | 65 |