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 = -0.1 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Mezgec
1
72 kgKrasnov
3
65 kgTamouridis
7
70 kgNikolaev
9
66 kgBoev
10
74 kgMironov
11
68 kgVasylyuk
14
65 kgStević
15
66 kgKuznetsov
22
70 kgKochetkov
42
70 kgSolomennikov
48
72 kgTopchanyuk
54
65 kgLozano
58
63 kgKondrut
60
79 kgKasa
65
72 kgPiasetski
70
66 kgČanecký
78
72 kgBajc
80
65 kgRybakov
81
65 kg
1
72 kgKrasnov
3
65 kgTamouridis
7
70 kgNikolaev
9
66 kgBoev
10
74 kgMironov
11
68 kgVasylyuk
14
65 kgStević
15
66 kgKuznetsov
22
70 kgKochetkov
42
70 kgSolomennikov
48
72 kgTopchanyuk
54
65 kgLozano
58
63 kgKondrut
60
79 kgKasa
65
72 kgPiasetski
70
66 kgČanecký
78
72 kgBajc
80
65 kgRybakov
81
65 kg
Weight (KG) →
Result →
79
63
1
81
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEZGEC Luka | 72 |
| 3 | KRASNOV Leonid | 65 |
| 7 | TAMOURIDIS Ioannis | 70 |
| 9 | NIKOLAEV Sergey | 66 |
| 10 | BOEV Igor | 74 |
| 11 | MIRONOV Alexander | 68 |
| 14 | VASYLYUK Andriy | 65 |
| 15 | STEVIĆ Ivan | 66 |
| 22 | KUZNETSOV Viacheslav | 70 |
| 42 | KOCHETKOV Pavel | 70 |
| 48 | SOLOMENNIKOV Andrei | 72 |
| 54 | TOPCHANYUK Artem | 65 |
| 58 | LOZANO David | 63 |
| 60 | KONDRUT Vitaliy | 79 |
| 65 | KASA Gabor | 72 |
| 70 | PIASETSKI Aliaksandr | 66 |
| 78 | ČANECKÝ Marek | 72 |
| 80 | BAJC Andi | 65 |
| 81 | RYBAKOV Alexander | 65 |