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 = 1.9 * weight - 104
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Buts
1
68 kgNechita
3
71 kgEvrard
4
65 kgKusztor
5
61 kgDufrasne
7
70 kgHristov
9
57 kgPolazzi
11
63 kgGerganov
13
60 kgStassen
14
66 kgTanovițchii
18
73 kgBerdos
24
68 kgDernies
27
68 kgKostyuk
29
66 kgKvachuk
31
68 kgDemoitié
34
69 kgVasilyev
43
70 kgKasa
46
72 kgStević
47
66 kgKüçükbay
48
70 kgBalkan
49
64 kgLovassy
50
71 kgSamli
59
75 kg
1
68 kgNechita
3
71 kgEvrard
4
65 kgKusztor
5
61 kgDufrasne
7
70 kgHristov
9
57 kgPolazzi
11
63 kgGerganov
13
60 kgStassen
14
66 kgTanovițchii
18
73 kgBerdos
24
68 kgDernies
27
68 kgKostyuk
29
66 kgKvachuk
31
68 kgDemoitié
34
69 kgVasilyev
43
70 kgKasa
46
72 kgStević
47
66 kgKüçükbay
48
70 kgBalkan
49
64 kgLovassy
50
71 kgSamli
59
75 kg
Weight (KG) →
Result →
75
57
1
59
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUTS Vitaliy | 68 |
| 3 | NECHITA Andrei | 71 |
| 4 | EVRARD Laurent | 65 |
| 5 | KUSZTOR Péter | 61 |
| 7 | DUFRASNE Jonathan | 70 |
| 9 | HRISTOV Stefan Koychev | 57 |
| 11 | POLAZZI Fabio | 63 |
| 13 | GERGANOV Evgeni | 60 |
| 14 | STASSEN Julien | 66 |
| 18 | TANOVIȚCHII Nicolae | 73 |
| 24 | BERDOS Oleg | 68 |
| 27 | DERNIES Tom | 68 |
| 29 | KOSTYUK Denys | 66 |
| 31 | KVACHUK Oleksandr | 68 |
| 34 | DEMOITIÉ Antoine | 69 |
| 43 | VASILYEV Maksym | 70 |
| 46 | KASA Gabor | 72 |
| 47 | STEVIĆ Ivan | 66 |
| 48 | KÜÇÜKBAY Kemal | 70 |
| 49 | BALKAN Serkan | 64 |
| 50 | LOVASSY Krisztián | 71 |
| 59 | SAMLI Feritcan | 75 |