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 + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Witecki
1
70 kgBroniš
3
74 kgHuzarski
5
69 kgKrupa
6
74 kgBodnar
8
68 kgRomanik
9
62 kgSapa
10
82 kgPorsev
12
80 kgJaniszewski
13
65 kgCommeyne
14
70 kgLagkuti
18
68 kgJaniaczyk
19
68 kgKiendyś
21
78 kgTybor
23
72 kgCharucki
25
64 kgMatysiak
26
71 kgKomar
38
73 kgBerden
55
69 kg
1
70 kgBroniš
3
74 kgHuzarski
5
69 kgKrupa
6
74 kgBodnar
8
68 kgRomanik
9
62 kgSapa
10
82 kgPorsev
12
80 kgJaniszewski
13
65 kgCommeyne
14
70 kgLagkuti
18
68 kgJaniaczyk
19
68 kgKiendyś
21
78 kgTybor
23
72 kgCharucki
25
64 kgMatysiak
26
71 kgKomar
38
73 kgBerden
55
69 kg
Weight (KG) →
Result →
82
62
1
55
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WITECKI Mariusz | 70 |
| 3 | BRONIŠ Roman | 74 |
| 5 | HUZARSKI Bartosz | 69 |
| 6 | KRUPA Dawid | 74 |
| 8 | BODNAR Łukasz | 68 |
| 9 | ROMANIK Radosław | 62 |
| 10 | SAPA Marcin | 82 |
| 12 | PORSEV Alexander | 80 |
| 13 | JANISZEWSKI Sylwester | 65 |
| 14 | COMMEYNE Davy | 70 |
| 18 | LAGKUTI Sergiy | 68 |
| 19 | JANIACZYK Błażej | 68 |
| 21 | KIENDYŚ Tomasz | 78 |
| 23 | TYBOR Patrik | 72 |
| 25 | CHARUCKI Paweł | 64 |
| 26 | MATYSIAK Bartłomiej | 71 |
| 38 | KOMAR Mateusz | 73 |
| 55 | BERDEN Ben | 69 |