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 = -0.6 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Janiaczyk
2
68 kgKiendyś
3
78 kgJaniszewski
6
65 kgPorsev
7
80 kgCommeyne
8
70 kgKrupa
11
74 kgBerden
16
69 kgBodnar
20
68 kgBroniš
25
74 kgSapa
26
82 kgRomanik
27
62 kgWitecki
28
70 kgLagkuti
29
68 kgTybor
31
72 kgKomar
41
73 kgMatysiak
43
71 kgCharucki
46
64 kgHuzarski
49
69 kg
2
68 kgKiendyś
3
78 kgJaniszewski
6
65 kgPorsev
7
80 kgCommeyne
8
70 kgKrupa
11
74 kgBerden
16
69 kgBodnar
20
68 kgBroniš
25
74 kgSapa
26
82 kgRomanik
27
62 kgWitecki
28
70 kgLagkuti
29
68 kgTybor
31
72 kgKomar
41
73 kgMatysiak
43
71 kgCharucki
46
64 kgHuzarski
49
69 kg
Weight (KG) →
Result →
82
62
2
49
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JANIACZYK Błażej | 68 |
| 3 | KIENDYŚ Tomasz | 78 |
| 6 | JANISZEWSKI Sylwester | 65 |
| 7 | PORSEV Alexander | 80 |
| 8 | COMMEYNE Davy | 70 |
| 11 | KRUPA Dawid | 74 |
| 16 | BERDEN Ben | 69 |
| 20 | BODNAR Łukasz | 68 |
| 25 | BRONIŠ Roman | 74 |
| 26 | SAPA Marcin | 82 |
| 27 | ROMANIK Radosław | 62 |
| 28 | WITECKI Mariusz | 70 |
| 29 | LAGKUTI Sergiy | 68 |
| 31 | TYBOR Patrik | 72 |
| 41 | KOMAR Mateusz | 73 |
| 43 | MATYSIAK Bartłomiej | 71 |
| 46 | CHARUCKI Paweł | 64 |
| 49 | HUZARSKI Bartosz | 69 |