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
3
75 kgKomar
5
73 kgZargari
9
62 kgSapa
14
82 kgSohrabi
17
69 kgLisowicz
27
85 kgBenčík
28
73 kgPawlak
40
73 kgChmielewski
45
72 kgKiendyś
46
78 kgJakin
63
71 kgRomanik
66
62 kgHaghi
73
78 kgReimer
75
69 kgKluge
81
83 kgSaeidi Tanha
83
70 kgOjavee
85
80 kgAndrle
87
70 kg
3
75 kgKomar
5
73 kgZargari
9
62 kgSapa
14
82 kgSohrabi
17
69 kgLisowicz
27
85 kgBenčík
28
73 kgPawlak
40
73 kgChmielewski
45
72 kgKiendyś
46
78 kgJakin
63
71 kgRomanik
66
62 kgHaghi
73
78 kgReimer
75
69 kgKluge
81
83 kgSaeidi Tanha
83
70 kgOjavee
85
80 kgAndrle
87
70 kg
Weight (KG) →
Result →
85
62
3
87
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOMMEL Henning | 75 |
| 5 | KOMAR Mateusz | 73 |
| 9 | ZARGARI Amir | 62 |
| 14 | SAPA Marcin | 82 |
| 17 | SOHRABI Mehdi | 69 |
| 27 | LISOWICZ Tomasz | 85 |
| 28 | BENČÍK Petr | 73 |
| 40 | PAWLAK Wojciech | 73 |
| 45 | CHMIELEWSKI Piotr | 72 |
| 46 | KIENDYŚ Tomasz | 78 |
| 63 | JAKIN Alo | 71 |
| 66 | ROMANIK Radosław | 62 |
| 73 | HAGHI Alireza | 78 |
| 75 | REIMER Martin | 69 |
| 81 | KLUGE Roger | 83 |
| 83 | SAEIDI TANHA Abbas | 70 |
| 85 | OJAVEE Mart | 80 |
| 87 | ANDRLE René | 70 |