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 + 46
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Stević
1
66 kgBoev
3
74 kgTopchanyuk
4
65 kgVasylyuk
6
65 kgTamouridis
8
70 kgMezgec
9
72 kgMironov
10
68 kgKochetkov
12
70 kgČanecký
13
72 kgBajc
14
65 kgRybakov
20
65 kgSolomennikov
23
72 kgKasa
26
72 kgLozano
28
63 kgNikolaev
34
66 kgKuznetsov
41
70 kgKondrut
52
79 kgKrasnov
84
65 kgPiasetski
86
66 kg
1
66 kgBoev
3
74 kgTopchanyuk
4
65 kgVasylyuk
6
65 kgTamouridis
8
70 kgMezgec
9
72 kgMironov
10
68 kgKochetkov
12
70 kgČanecký
13
72 kgBajc
14
65 kgRybakov
20
65 kgSolomennikov
23
72 kgKasa
26
72 kgLozano
28
63 kgNikolaev
34
66 kgKuznetsov
41
70 kgKondrut
52
79 kgKrasnov
84
65 kgPiasetski
86
66 kg
Weight (KG) →
Result →
79
63
1
86
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEVIĆ Ivan | 66 |
| 3 | BOEV Igor | 74 |
| 4 | TOPCHANYUK Artem | 65 |
| 6 | VASYLYUK Andriy | 65 |
| 8 | TAMOURIDIS Ioannis | 70 |
| 9 | MEZGEC Luka | 72 |
| 10 | MIRONOV Alexander | 68 |
| 12 | KOCHETKOV Pavel | 70 |
| 13 | ČANECKÝ Marek | 72 |
| 14 | BAJC Andi | 65 |
| 20 | RYBAKOV Alexander | 65 |
| 23 | SOLOMENNIKOV Andrei | 72 |
| 26 | KASA Gabor | 72 |
| 28 | LOZANO David | 63 |
| 34 | NIKOLAEV Sergey | 66 |
| 41 | KUZNETSOV Viacheslav | 70 |
| 52 | KONDRUT Vitaliy | 79 |
| 84 | KRASNOV Leonid | 65 |
| 86 | PIASETSKI Aliaksandr | 66 |