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 * weight + 19
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Kiendyś
2
78 kgBroniš
4
74 kgMahorič
5
68 kgRogina
6
70 kgGlomser
7
67 kgRomanik
9
62 kgBenčík
10
73 kgHuzarski
12
69 kgKvasina
13
72 kgRutkiewicz
14
66 kgJaniaczyk
16
68 kgPawlak
17
73 kgSapa
20
82 kgLisowicz
24
85 kgLudescher
25
72 kgMatysiak
26
71 kgLagkuti
27
68 kgGazvoda
30
72 kgKönig
37
62 kgBodnar
48
68 kgWeissinger
50
74 kgJakin
57
71 kgKomar
59
73 kg
2
78 kgBroniš
4
74 kgMahorič
5
68 kgRogina
6
70 kgGlomser
7
67 kgRomanik
9
62 kgBenčík
10
73 kgHuzarski
12
69 kgKvasina
13
72 kgRutkiewicz
14
66 kgJaniaczyk
16
68 kgPawlak
17
73 kgSapa
20
82 kgLisowicz
24
85 kgLudescher
25
72 kgMatysiak
26
71 kgLagkuti
27
68 kgGazvoda
30
72 kgKönig
37
62 kgBodnar
48
68 kgWeissinger
50
74 kgJakin
57
71 kgKomar
59
73 kg
Weight (KG) →
Result →
85
62
2
59
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KIENDYŚ Tomasz | 78 |
| 4 | BRONIŠ Roman | 74 |
| 5 | MAHORIČ Mitja | 68 |
| 6 | ROGINA Radoslav | 70 |
| 7 | GLOMSER Gerrit | 67 |
| 9 | ROMANIK Radosław | 62 |
| 10 | BENČÍK Petr | 73 |
| 12 | HUZARSKI Bartosz | 69 |
| 13 | KVASINA Matija | 72 |
| 14 | RUTKIEWICZ Marek | 66 |
| 16 | JANIACZYK Błażej | 68 |
| 17 | PAWLAK Wojciech | 73 |
| 20 | SAPA Marcin | 82 |
| 24 | LISOWICZ Tomasz | 85 |
| 25 | LUDESCHER Philipp | 72 |
| 26 | MATYSIAK Bartłomiej | 71 |
| 27 | LAGKUTI Sergiy | 68 |
| 30 | GAZVODA Gregor | 72 |
| 37 | KÖNIG Leopold | 62 |
| 48 | BODNAR Łukasz | 68 |
| 50 | WEISSINGER René | 74 |
| 57 | JAKIN Alo | 71 |
| 59 | KOMAR Mateusz | 73 |