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 + 12
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 kgPage
3
64 kgAberasturi
4
69 kgFreiberg
5
82 kgLiepiņš
8
67 kgButs
13
68 kgTzortzakis
15
80 kgHill
17
67 kgBarbin
18
60 kgMeiler
19
65 kgAristi
20
72 kgZhupa
21
78 kgSimion
22
79 kgBenhamouda
23
64 kgLienhard
25
73 kgMaestri
29
73 kgStannard
30
74 kgRathe
31
74 kgMudgway
32
65 kg
1
67 kgLaas
2
76 kgPage
3
64 kgAberasturi
4
69 kgFreiberg
5
82 kgLiepiņš
8
67 kgButs
13
68 kgTzortzakis
15
80 kgHill
17
67 kgBarbin
18
60 kgMeiler
19
65 kgAristi
20
72 kgZhupa
21
78 kgSimion
22
79 kgBenhamouda
23
64 kgLienhard
25
73 kgMaestri
29
73 kgStannard
30
74 kgRathe
31
74 kgMudgway
32
65 kg
Weight (KG) →
Result →
82
60
1
32
# | Rider | Weight (KG) |
---|---|---|
1 | MARECZKO Jakub | 67 |
2 | LAAS Martin | 76 |
3 | PAGE Dylan | 64 |
4 | ABERASTURI Jon | 69 |
5 | FREIBERG Michael | 82 |
8 | LIEPIŅŠ Emīls | 67 |
13 | BUTS Vitaliy | 68 |
15 | TZORTZAKIS Polychronis | 80 |
17 | HILL Benjamin | 67 |
18 | BARBIN Enrico | 60 |
19 | MEILER Martin | 65 |
20 | ARISTI Mikel | 72 |
21 | ZHUPA Eugert | 78 |
22 | SIMION Paolo | 79 |
23 | BENHAMOUDA Mehdi | 64 |
25 | LIENHARD Fabian | 73 |
29 | MAESTRI Mirco | 73 |
30 | STANNARD Robert | 74 |
31 | RATHE Jacob | 74 |
32 | MUDGWAY Luke | 65 |