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 + 21
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Boev
1
74 kgStević
2
66 kgTopchanyuk
4
65 kgMezgec
5
72 kgTamouridis
8
70 kgVasylyuk
9
65 kgMironov
10
68 kgKochetkov
11
70 kgRybakov
16
65 kgSolomennikov
18
72 kgBajc
20
65 kgLozano
23
63 kgNikolaev
26
66 kgKasa
30
72 kgKuznetsov
31
70 kgKondrut
37
79 kgKrasnov
38
65 kgČanecký
39
72 kgPiasetski
83
66 kg
1
74 kgStević
2
66 kgTopchanyuk
4
65 kgMezgec
5
72 kgTamouridis
8
70 kgVasylyuk
9
65 kgMironov
10
68 kgKochetkov
11
70 kgRybakov
16
65 kgSolomennikov
18
72 kgBajc
20
65 kgLozano
23
63 kgNikolaev
26
66 kgKasa
30
72 kgKuznetsov
31
70 kgKondrut
37
79 kgKrasnov
38
65 kgČanecký
39
72 kgPiasetski
83
66 kg
Weight (KG) →
Result →
79
63
1
83
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOEV Igor | 74 |
| 2 | STEVIĆ Ivan | 66 |
| 4 | TOPCHANYUK Artem | 65 |
| 5 | MEZGEC Luka | 72 |
| 8 | TAMOURIDIS Ioannis | 70 |
| 9 | VASYLYUK Andriy | 65 |
| 10 | MIRONOV Alexander | 68 |
| 11 | KOCHETKOV Pavel | 70 |
| 16 | RYBAKOV Alexander | 65 |
| 18 | SOLOMENNIKOV Andrei | 72 |
| 20 | BAJC Andi | 65 |
| 23 | LOZANO David | 63 |
| 26 | NIKOLAEV Sergey | 66 |
| 30 | KASA Gabor | 72 |
| 31 | KUZNETSOV Viacheslav | 70 |
| 37 | KONDRUT Vitaliy | 79 |
| 38 | KRASNOV Leonid | 65 |
| 39 | ČANECKÝ Marek | 72 |
| 83 | PIASETSKI Aliaksandr | 66 |