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 = -1.6 * weight + 149
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Galimzyanov
8
75 kgPorsev
11
80 kgKrupa
12
74 kgCommeyne
13
70 kgChmielewski
14
72 kgSapa
16
82 kgRutkiewicz
17
66 kgJaniaczyk
18
68 kgMatysiak
21
71 kgTybor
25
72 kgKritskiy
28
81 kgKiendyś
39
78 kgBodnar
41
68 kgCharucki
44
64 kgRomanik
49
62 kgLagkuti
52
68 kgBroniš
58
74 kgJaniszewski
59
65 kgKomar
61
73 kgWitecki
65
70 kgHuzarski
68
69 kgBerden
72
69 kg
8
75 kgPorsev
11
80 kgKrupa
12
74 kgCommeyne
13
70 kgChmielewski
14
72 kgSapa
16
82 kgRutkiewicz
17
66 kgJaniaczyk
18
68 kgMatysiak
21
71 kgTybor
25
72 kgKritskiy
28
81 kgKiendyś
39
78 kgBodnar
41
68 kgCharucki
44
64 kgRomanik
49
62 kgLagkuti
52
68 kgBroniš
58
74 kgJaniszewski
59
65 kgKomar
61
73 kgWitecki
65
70 kgHuzarski
68
69 kgBerden
72
69 kg
Weight (KG) →
Result →
82
62
8
72
# | Rider | Weight (KG) |
---|---|---|
8 | GALIMZYANOV Denis | 75 |
11 | PORSEV Alexander | 80 |
12 | KRUPA Dawid | 74 |
13 | COMMEYNE Davy | 70 |
14 | CHMIELEWSKI Piotr | 72 |
16 | SAPA Marcin | 82 |
17 | RUTKIEWICZ Marek | 66 |
18 | JANIACZYK Błażej | 68 |
21 | MATYSIAK Bartłomiej | 71 |
25 | TYBOR Patrik | 72 |
28 | KRITSKIY Timofey | 81 |
39 | KIENDYŚ Tomasz | 78 |
41 | BODNAR Łukasz | 68 |
44 | CHARUCKI Paweł | 64 |
49 | ROMANIK Radosław | 62 |
52 | LAGKUTI Sergiy | 68 |
58 | BRONIŠ Roman | 74 |
59 | JANISZEWSKI Sylwester | 65 |
61 | KOMAR Mateusz | 73 |
65 | WITECKI Mariusz | 70 |
68 | HUZARSKI Bartosz | 69 |
72 | BERDEN Ben | 69 |