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 = 2.3 * weight - 126
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Buts
2
68 kgNechita
5
71 kgEvrard
6
65 kgHristov
7
57 kgKusztor
9
61 kgDufrasne
12
70 kgGerganov
13
60 kgPolazzi
14
63 kgStassen
15
66 kgTanovițchii
19
73 kgBerdos
25
68 kgDernies
28
68 kgKostyuk
29
66 kgKvachuk
31
68 kgDemoitié
34
69 kgBalkan
38
64 kgVasilyev
48
70 kgKasa
51
72 kgKüçükbay
52
70 kgStević
53
66 kgLovassy
55
71 kgSamli
65
75 kg
2
68 kgNechita
5
71 kgEvrard
6
65 kgHristov
7
57 kgKusztor
9
61 kgDufrasne
12
70 kgGerganov
13
60 kgPolazzi
14
63 kgStassen
15
66 kgTanovițchii
19
73 kgBerdos
25
68 kgDernies
28
68 kgKostyuk
29
66 kgKvachuk
31
68 kgDemoitié
34
69 kgBalkan
38
64 kgVasilyev
48
70 kgKasa
51
72 kgKüçükbay
52
70 kgStević
53
66 kgLovassy
55
71 kgSamli
65
75 kg
Weight (KG) →
Result →
75
57
2
65
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUTS Vitaliy | 68 |
| 5 | NECHITA Andrei | 71 |
| 6 | EVRARD Laurent | 65 |
| 7 | HRISTOV Stefan Koychev | 57 |
| 9 | KUSZTOR Péter | 61 |
| 12 | DUFRASNE Jonathan | 70 |
| 13 | GERGANOV Evgeni | 60 |
| 14 | POLAZZI Fabio | 63 |
| 15 | STASSEN Julien | 66 |
| 19 | TANOVIȚCHII Nicolae | 73 |
| 25 | BERDOS Oleg | 68 |
| 28 | DERNIES Tom | 68 |
| 29 | KOSTYUK Denys | 66 |
| 31 | KVACHUK Oleksandr | 68 |
| 34 | DEMOITIÉ Antoine | 69 |
| 38 | BALKAN Serkan | 64 |
| 48 | VASILYEV Maksym | 70 |
| 51 | KASA Gabor | 72 |
| 52 | KÜÇÜKBAY Kemal | 70 |
| 53 | STEVIĆ Ivan | 66 |
| 55 | LOVASSY Krisztián | 71 |
| 65 | SAMLI Feritcan | 75 |