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 + 45
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Krasnov
2
65 kgNikolaev
3
66 kgMezgec
5
72 kgVasylyuk
6
65 kgBoev
7
74 kgStević
10
66 kgTamouridis
15
70 kgKondrut
28
79 kgMironov
31
68 kgLozano
33
63 kgKuznetsov
36
70 kgTopchanyuk
37
65 kgKochetkov
40
70 kgSolomennikov
41
72 kgBajc
43
65 kgČanecký
49
72 kgKasa
55
72 kgRybakov
57
65 kgPiasetski
85
66 kg
2
65 kgNikolaev
3
66 kgMezgec
5
72 kgVasylyuk
6
65 kgBoev
7
74 kgStević
10
66 kgTamouridis
15
70 kgKondrut
28
79 kgMironov
31
68 kgLozano
33
63 kgKuznetsov
36
70 kgTopchanyuk
37
65 kgKochetkov
40
70 kgSolomennikov
41
72 kgBajc
43
65 kgČanecký
49
72 kgKasa
55
72 kgRybakov
57
65 kgPiasetski
85
66 kg
Weight (KG) →
Result →
79
63
2
85
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KRASNOV Leonid | 65 |
| 3 | NIKOLAEV Sergey | 66 |
| 5 | MEZGEC Luka | 72 |
| 6 | VASYLYUK Andriy | 65 |
| 7 | BOEV Igor | 74 |
| 10 | STEVIĆ Ivan | 66 |
| 15 | TAMOURIDIS Ioannis | 70 |
| 28 | KONDRUT Vitaliy | 79 |
| 31 | MIRONOV Alexander | 68 |
| 33 | LOZANO David | 63 |
| 36 | KUZNETSOV Viacheslav | 70 |
| 37 | TOPCHANYUK Artem | 65 |
| 40 | KOCHETKOV Pavel | 70 |
| 41 | SOLOMENNIKOV Andrei | 72 |
| 43 | BAJC Andi | 65 |
| 49 | ČANECKÝ Marek | 72 |
| 55 | KASA Gabor | 72 |
| 57 | RYBAKOV Alexander | 65 |
| 85 | PIASETSKI Aliaksandr | 66 |