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 + 15
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Krupa
3
74 kgJaniaczyk
4
68 kgCommeyne
5
70 kgMatysiak
8
71 kgBerden
10
69 kgBroniš
12
74 kgRomanik
14
62 kgRutkiewicz
15
66 kgTybor
17
72 kgBodnar
20
68 kgHuzarski
23
69 kgWitecki
25
70 kgSapa
26
82 kgKiendyś
27
78 kgKomar
33
73 kgCharucki
36
64 kgChmielewski
48
72 kgPorsev
49
80 kgJaniszewski
57
65 kgLagkuti
61
68 kg
3
74 kgJaniaczyk
4
68 kgCommeyne
5
70 kgMatysiak
8
71 kgBerden
10
69 kgBroniš
12
74 kgRomanik
14
62 kgRutkiewicz
15
66 kgTybor
17
72 kgBodnar
20
68 kgHuzarski
23
69 kgWitecki
25
70 kgSapa
26
82 kgKiendyś
27
78 kgKomar
33
73 kgCharucki
36
64 kgChmielewski
48
72 kgPorsev
49
80 kgJaniszewski
57
65 kgLagkuti
61
68 kg
Weight (KG) →
Result →
82
62
3
61
# | Rider | Weight (KG) |
---|---|---|
3 | KRUPA Dawid | 74 |
4 | JANIACZYK Błażej | 68 |
5 | COMMEYNE Davy | 70 |
8 | MATYSIAK Bartłomiej | 71 |
10 | BERDEN Ben | 69 |
12 | BRONIŠ Roman | 74 |
14 | ROMANIK Radosław | 62 |
15 | RUTKIEWICZ Marek | 66 |
17 | TYBOR Patrik | 72 |
20 | BODNAR Łukasz | 68 |
23 | HUZARSKI Bartosz | 69 |
25 | WITECKI Mariusz | 70 |
26 | SAPA Marcin | 82 |
27 | KIENDYŚ Tomasz | 78 |
33 | KOMAR Mateusz | 73 |
36 | CHARUCKI Paweł | 64 |
48 | CHMIELEWSKI Piotr | 72 |
49 | PORSEV Alexander | 80 |
57 | JANISZEWSKI Sylwester | 65 |
61 | LAGKUTI Sergiy | 68 |