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 = 0.7 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Commeyne
1
70 kgRomanik
2
62 kgBodnar
5
68 kgHuzarski
6
69 kgBroniš
7
74 kgJaniaczyk
8
68 kgChmielewski
9
72 kgKiendyś
11
78 kgRutkiewicz
12
66 kgJaniszewski
14
65 kgPorsev
15
80 kgWitecki
16
70 kgKrupa
18
74 kgLagkuti
19
68 kgTybor
24
72 kgMatysiak
25
71 kgCharucki
37
64 kgKomar
45
73 kgSapa
47
82 kgBerden
67
69 kg
1
70 kgRomanik
2
62 kgBodnar
5
68 kgHuzarski
6
69 kgBroniš
7
74 kgJaniaczyk
8
68 kgChmielewski
9
72 kgKiendyś
11
78 kgRutkiewicz
12
66 kgJaniszewski
14
65 kgPorsev
15
80 kgWitecki
16
70 kgKrupa
18
74 kgLagkuti
19
68 kgTybor
24
72 kgMatysiak
25
71 kgCharucki
37
64 kgKomar
45
73 kgSapa
47
82 kgBerden
67
69 kg
Weight (KG) →
Result →
82
62
1
67
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COMMEYNE Davy | 70 |
| 2 | ROMANIK Radosław | 62 |
| 5 | BODNAR Łukasz | 68 |
| 6 | HUZARSKI Bartosz | 69 |
| 7 | BRONIŠ Roman | 74 |
| 8 | JANIACZYK Błażej | 68 |
| 9 | CHMIELEWSKI Piotr | 72 |
| 11 | KIENDYŚ Tomasz | 78 |
| 12 | RUTKIEWICZ Marek | 66 |
| 14 | JANISZEWSKI Sylwester | 65 |
| 15 | PORSEV Alexander | 80 |
| 16 | WITECKI Mariusz | 70 |
| 18 | KRUPA Dawid | 74 |
| 19 | LAGKUTI Sergiy | 68 |
| 24 | TYBOR Patrik | 72 |
| 25 | MATYSIAK Bartłomiej | 71 |
| 37 | CHARUCKI Paweł | 64 |
| 45 | KOMAR Mateusz | 73 |
| 47 | SAPA Marcin | 82 |
| 67 | BERDEN Ben | 69 |