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 + 40
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Bommel
5
75 kgLisowicz
6
85 kgAndrle
8
70 kgKomar
10
73 kgZargari
13
62 kgKiendyś
18
78 kgSaeidi Tanha
37
70 kgReimer
48
69 kgSapa
49
82 kgBenčík
61
73 kgJakin
68
71 kgSohrabi
69
69 kgChmielewski
73
72 kgPawlak
79
73 kgKluge
81
83 kgRomanik
83
62 kgHaghi
89
78 kgOjavee
90
80 kg
5
75 kgLisowicz
6
85 kgAndrle
8
70 kgKomar
10
73 kgZargari
13
62 kgKiendyś
18
78 kgSaeidi Tanha
37
70 kgReimer
48
69 kgSapa
49
82 kgBenčík
61
73 kgJakin
68
71 kgSohrabi
69
69 kgChmielewski
73
72 kgPawlak
79
73 kgKluge
81
83 kgRomanik
83
62 kgHaghi
89
78 kgOjavee
90
80 kg
Weight (KG) →
Result →
85
62
5
90
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BOMMEL Henning | 75 |
| 6 | LISOWICZ Tomasz | 85 |
| 8 | ANDRLE René | 70 |
| 10 | KOMAR Mateusz | 73 |
| 13 | ZARGARI Amir | 62 |
| 18 | KIENDYŚ Tomasz | 78 |
| 37 | SAEIDI TANHA Abbas | 70 |
| 48 | REIMER Martin | 69 |
| 49 | SAPA Marcin | 82 |
| 61 | BENČÍK Petr | 73 |
| 68 | JAKIN Alo | 71 |
| 69 | SOHRABI Mehdi | 69 |
| 73 | CHMIELEWSKI Piotr | 72 |
| 79 | PAWLAK Wojciech | 73 |
| 81 | KLUGE Roger | 83 |
| 83 | ROMANIK Radosław | 62 |
| 89 | HAGHI Alireza | 78 |
| 90 | OJAVEE Mart | 80 |