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 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Buts
1
68 kgDernies
2
68 kgStević
3
66 kgNechita
4
71 kgDemoitié
5
69 kgBerdos
6
68 kgDufrasne
10
70 kgEvrard
11
65 kgPolazzi
12
63 kgLovassy
13
71 kgKostyuk
15
66 kgKusztor
18
61 kgSoula
20
68 kgStassen
22
66 kgVasilyev
23
70 kgTanovițchii
25
73 kgKasa
34
72 kgKvachuk
37
68 kgHristov
40
57 kgKüçükbay
44
70 kgGerganov
47
60 kgSamli
58
75 kgBalkan
59
64 kgGreen
74
70 kg
1
68 kgDernies
2
68 kgStević
3
66 kgNechita
4
71 kgDemoitié
5
69 kgBerdos
6
68 kgDufrasne
10
70 kgEvrard
11
65 kgPolazzi
12
63 kgLovassy
13
71 kgKostyuk
15
66 kgKusztor
18
61 kgSoula
20
68 kgStassen
22
66 kgVasilyev
23
70 kgTanovițchii
25
73 kgKasa
34
72 kgKvachuk
37
68 kgHristov
40
57 kgKüçükbay
44
70 kgGerganov
47
60 kgSamli
58
75 kgBalkan
59
64 kgGreen
74
70 kg
Weight (KG) →
Result →
75
57
1
74
# | Rider | Weight (KG) |
---|---|---|
1 | BUTS Vitaliy | 68 |
2 | DERNIES Tom | 68 |
3 | STEVIĆ Ivan | 66 |
4 | NECHITA Andrei | 71 |
5 | DEMOITIÉ Antoine | 69 |
6 | BERDOS Oleg | 68 |
10 | DUFRASNE Jonathan | 70 |
11 | EVRARD Laurent | 65 |
12 | POLAZZI Fabio | 63 |
13 | LOVASSY Krisztián | 71 |
15 | KOSTYUK Denys | 66 |
18 | KUSZTOR Péter | 61 |
20 | SOULA Guillaume | 68 |
22 | STASSEN Julien | 66 |
23 | VASILYEV Maksym | 70 |
25 | TANOVIȚCHII Nicolae | 73 |
34 | KASA Gabor | 72 |
37 | KVACHUK Oleksandr | 68 |
40 | HRISTOV Stefan Koychev | 57 |
44 | KÜÇÜKBAY Kemal | 70 |
47 | GERGANOV Evgeni | 60 |
58 | SAMLI Feritcan | 75 |
59 | BALKAN Serkan | 64 |
74 | GREEN Siméon | 70 |