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 = 0.2 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Boev
1
74 kgMezgec
2
72 kgStević
3
66 kgNikolaev
4
66 kgMironov
5
68 kgVasylyuk
8
65 kgTamouridis
12
70 kgLozano
15
63 kgTopchanyuk
21
65 kgKochetkov
22
70 kgSolomennikov
23
72 kgKondrut
35
79 kgKrasnov
39
65 kgKuznetsov
41
70 kgRybakov
43
65 kgBajc
57
65 kgKasa
66
72 kgČanecký
73
72 kgPiasetski
81
66 kg
1
74 kgMezgec
2
72 kgStević
3
66 kgNikolaev
4
66 kgMironov
5
68 kgVasylyuk
8
65 kgTamouridis
12
70 kgLozano
15
63 kgTopchanyuk
21
65 kgKochetkov
22
70 kgSolomennikov
23
72 kgKondrut
35
79 kgKrasnov
39
65 kgKuznetsov
41
70 kgRybakov
43
65 kgBajc
57
65 kgKasa
66
72 kgČanecký
73
72 kgPiasetski
81
66 kg
Weight (KG) →
Result →
79
63
1
81
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOEV Igor | 74 |
| 2 | MEZGEC Luka | 72 |
| 3 | STEVIĆ Ivan | 66 |
| 4 | NIKOLAEV Sergey | 66 |
| 5 | MIRONOV Alexander | 68 |
| 8 | VASYLYUK Andriy | 65 |
| 12 | TAMOURIDIS Ioannis | 70 |
| 15 | LOZANO David | 63 |
| 21 | TOPCHANYUK Artem | 65 |
| 22 | KOCHETKOV Pavel | 70 |
| 23 | SOLOMENNIKOV Andrei | 72 |
| 35 | KONDRUT Vitaliy | 79 |
| 39 | KRASNOV Leonid | 65 |
| 41 | KUZNETSOV Viacheslav | 70 |
| 43 | RYBAKOV Alexander | 65 |
| 57 | BAJC Andi | 65 |
| 66 | KASA Gabor | 72 |
| 73 | ČANECKÝ Marek | 72 |
| 81 | PIASETSKI Aliaksandr | 66 |