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 = 0.7 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Carstensen
4
69 kgBani
8
72 kgVasylyuk
9
65 kgRathe
10
74 kgGaleyev
12
68 kgKhalmuratov
13
68 kgDubovski
14
75 kgMoazemi
19
70 kgNieto
22
58 kgKolahdozhagh
27
60 kgCastillo
31
72 kgSohrabi
40
69 kgRapps
41
73 kgTzortzakis
47
80 kgSainbayar
48
60 kgIderbold
53
58 kgBat-Erdene
55
73 kgGutierrez
62
63 kgLunardon
64
77 kgIlić
75
86 kg
4
69 kgBani
8
72 kgVasylyuk
9
65 kgRathe
10
74 kgGaleyev
12
68 kgKhalmuratov
13
68 kgDubovski
14
75 kgMoazemi
19
70 kgNieto
22
58 kgKolahdozhagh
27
60 kgCastillo
31
72 kgSohrabi
40
69 kgRapps
41
73 kgTzortzakis
47
80 kgSainbayar
48
60 kgIderbold
53
58 kgBat-Erdene
55
73 kgGutierrez
62
63 kgLunardon
64
77 kgIlić
75
86 kg
Weight (KG) →
Result →
86
58
4
75
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CARSTENSEN Lucas | 69 |
| 8 | BANI Eugenio | 72 |
| 9 | VASYLYUK Andriy | 65 |
| 10 | RATHE Jacob | 74 |
| 12 | GALEYEV Vadim | 68 |
| 13 | KHALMURATOV Muradjan | 68 |
| 14 | DUBOVSKI Vladzislau | 75 |
| 19 | MOAZEMI Arvin | 70 |
| 22 | NIETO Edgar | 58 |
| 27 | KOLAHDOZHAGH Amir | 60 |
| 31 | CASTILLO Ulises Alfredo | 72 |
| 40 | SOHRABI Mehdi | 69 |
| 41 | RAPPS Dario | 73 |
| 47 | TZORTZAKIS Polychronis | 80 |
| 48 | SAINBAYAR Jambaljamts | 60 |
| 53 | IDERBOLD Bold | 58 |
| 55 | BAT-ERDENE Narankhuu | 73 |
| 62 | GUTIERREZ José Manuel | 63 |
| 64 | LUNARDON Paolo | 77 |
| 75 | ILIĆ Ognjen | 86 |