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 = -0.9 * weight + 84
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Kiendyś
1
78 kgMahorič
2
68 kgHuzarski
3
69 kgRogina
5
70 kgLisowicz
6
85 kgSapa
9
82 kgPawlak
10
73 kgBroniš
11
74 kgKvasina
12
72 kgRutkiewicz
13
66 kgBenčík
14
73 kgJaniaczyk
17
68 kgGlomser
19
67 kgGazvoda
22
72 kgMatysiak
28
71 kgLagkuti
29
68 kgLudescher
30
72 kgRomanik
31
62 kgKönig
39
62 kgBodnar
42
68 kgWeissinger
47
74 kgJakin
55
71 kgKomar
62
73 kg
1
78 kgMahorič
2
68 kgHuzarski
3
69 kgRogina
5
70 kgLisowicz
6
85 kgSapa
9
82 kgPawlak
10
73 kgBroniš
11
74 kgKvasina
12
72 kgRutkiewicz
13
66 kgBenčík
14
73 kgJaniaczyk
17
68 kgGlomser
19
67 kgGazvoda
22
72 kgMatysiak
28
71 kgLagkuti
29
68 kgLudescher
30
72 kgRomanik
31
62 kgKönig
39
62 kgBodnar
42
68 kgWeissinger
47
74 kgJakin
55
71 kgKomar
62
73 kg
Weight (KG) →
Result →
85
62
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIENDYŚ Tomasz | 78 |
| 2 | MAHORIČ Mitja | 68 |
| 3 | HUZARSKI Bartosz | 69 |
| 5 | ROGINA Radoslav | 70 |
| 6 | LISOWICZ Tomasz | 85 |
| 9 | SAPA Marcin | 82 |
| 10 | PAWLAK Wojciech | 73 |
| 11 | BRONIŠ Roman | 74 |
| 12 | KVASINA Matija | 72 |
| 13 | RUTKIEWICZ Marek | 66 |
| 14 | BENČÍK Petr | 73 |
| 17 | JANIACZYK Błażej | 68 |
| 19 | GLOMSER Gerrit | 67 |
| 22 | GAZVODA Gregor | 72 |
| 28 | MATYSIAK Bartłomiej | 71 |
| 29 | LAGKUTI Sergiy | 68 |
| 30 | LUDESCHER Philipp | 72 |
| 31 | ROMANIK Radosław | 62 |
| 39 | KÖNIG Leopold | 62 |
| 42 | BODNAR Łukasz | 68 |
| 47 | WEISSINGER René | 74 |
| 55 | JAKIN Alo | 71 |
| 62 | KOMAR Mateusz | 73 |