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 + 48
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Bommel
5
75 kgKomar
9
73 kgZargari
11
62 kgLisowicz
13
85 kgAndrle
17
70 kgKiendyś
22
78 kgSaeidi Tanha
29
70 kgReimer
55
69 kgJakin
62
71 kgKluge
65
83 kgBenčík
81
73 kgChmielewski
88
72 kgSapa
91
82 kgOjavee
93
80 kgRomanik
95
62 kgPawlak
99
73 kgHaghi
104
78 kgSohrabi
109
69 kg
5
75 kgKomar
9
73 kgZargari
11
62 kgLisowicz
13
85 kgAndrle
17
70 kgKiendyś
22
78 kgSaeidi Tanha
29
70 kgReimer
55
69 kgJakin
62
71 kgKluge
65
83 kgBenčík
81
73 kgChmielewski
88
72 kgSapa
91
82 kgOjavee
93
80 kgRomanik
95
62 kgPawlak
99
73 kgHaghi
104
78 kgSohrabi
109
69 kg
Weight (KG) →
Result →
85
62
5
109
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BOMMEL Henning | 75 |
| 9 | KOMAR Mateusz | 73 |
| 11 | ZARGARI Amir | 62 |
| 13 | LISOWICZ Tomasz | 85 |
| 17 | ANDRLE René | 70 |
| 22 | KIENDYŚ Tomasz | 78 |
| 29 | SAEIDI TANHA Abbas | 70 |
| 55 | REIMER Martin | 69 |
| 62 | JAKIN Alo | 71 |
| 65 | KLUGE Roger | 83 |
| 81 | BENČÍK Petr | 73 |
| 88 | CHMIELEWSKI Piotr | 72 |
| 91 | SAPA Marcin | 82 |
| 93 | OJAVEE Mart | 80 |
| 95 | ROMANIK Radosław | 62 |
| 99 | PAWLAK Wojciech | 73 |
| 104 | HAGHI Alireza | 78 |
| 109 | SOHRABI Mehdi | 69 |