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 = -0.3 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Buts
1
68 kgStević
2
66 kgDemoitié
3
69 kgNechita
4
71 kgStassen
6
66 kgVasilyev
7
70 kgTanovițchii
9
73 kgDufrasne
13
70 kgEvrard
14
65 kgPolazzi
15
63 kgBerdos
16
68 kgLovassy
17
71 kgKostyuk
19
66 kgDernies
22
68 kgKusztor
23
61 kgSoula
25
68 kgKasa
32
72 kgKvachuk
36
68 kgHristov
39
57 kgKüçükbay
45
70 kgGerganov
48
60 kgSamli
58
75 kgBalkan
59
64 kgGreen
74
70 kg
1
68 kgStević
2
66 kgDemoitié
3
69 kgNechita
4
71 kgStassen
6
66 kgVasilyev
7
70 kgTanovițchii
9
73 kgDufrasne
13
70 kgEvrard
14
65 kgPolazzi
15
63 kgBerdos
16
68 kgLovassy
17
71 kgKostyuk
19
66 kgDernies
22
68 kgKusztor
23
61 kgSoula
25
68 kgKasa
32
72 kgKvachuk
36
68 kgHristov
39
57 kgKüçükbay
45
70 kgGerganov
48
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 | STEVIĆ Ivan | 66 |
3 | DEMOITIÉ Antoine | 69 |
4 | NECHITA Andrei | 71 |
6 | STASSEN Julien | 66 |
7 | VASILYEV Maksym | 70 |
9 | TANOVIȚCHII Nicolae | 73 |
13 | DUFRASNE Jonathan | 70 |
14 | EVRARD Laurent | 65 |
15 | POLAZZI Fabio | 63 |
16 | BERDOS Oleg | 68 |
17 | LOVASSY Krisztián | 71 |
19 | KOSTYUK Denys | 66 |
22 | DERNIES Tom | 68 |
23 | KUSZTOR Péter | 61 |
25 | SOULA Guillaume | 68 |
32 | KASA Gabor | 72 |
36 | KVACHUK Oleksandr | 68 |
39 | HRISTOV Stefan Koychev | 57 |
45 | KÜÇÜKBAY Kemal | 70 |
48 | GERGANOV Evgeni | 60 |
58 | SAMLI Feritcan | 75 |
59 | BALKAN Serkan | 64 |
74 | GREEN Siméon | 70 |