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 = 0.5 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Rathe
1
74 kgDubovski
5
75 kgCastillo
6
72 kgVasylyuk
7
65 kgNieto
9
58 kgKolahdozhagh
10
60 kgMoazemi
11
70 kgKhalmuratov
12
68 kgCarstensen
20
69 kgBani
22
72 kgGaleyev
27
68 kgLunardon
30
77 kgGutierrez
37
63 kgIlić
41
86 kgIderbold
45
58 kgSohrabi
56
69 kgTzortzakis
65
80 kgSainbayar
67
60 kgRapps
75
73 kgBat-Erdene
77
73 kg
1
74 kgDubovski
5
75 kgCastillo
6
72 kgVasylyuk
7
65 kgNieto
9
58 kgKolahdozhagh
10
60 kgMoazemi
11
70 kgKhalmuratov
12
68 kgCarstensen
20
69 kgBani
22
72 kgGaleyev
27
68 kgLunardon
30
77 kgGutierrez
37
63 kgIlić
41
86 kgIderbold
45
58 kgSohrabi
56
69 kgTzortzakis
65
80 kgSainbayar
67
60 kgRapps
75
73 kgBat-Erdene
77
73 kg
Weight (KG) →
Result →
86
58
1
77
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RATHE Jacob | 74 |
| 5 | DUBOVSKI Vladzislau | 75 |
| 6 | CASTILLO Ulises Alfredo | 72 |
| 7 | VASYLYUK Andriy | 65 |
| 9 | NIETO Edgar | 58 |
| 10 | KOLAHDOZHAGH Amir | 60 |
| 11 | MOAZEMI Arvin | 70 |
| 12 | KHALMURATOV Muradjan | 68 |
| 20 | CARSTENSEN Lucas | 69 |
| 22 | BANI Eugenio | 72 |
| 27 | GALEYEV Vadim | 68 |
| 30 | LUNARDON Paolo | 77 |
| 37 | GUTIERREZ José Manuel | 63 |
| 41 | ILIĆ Ognjen | 86 |
| 45 | IDERBOLD Bold | 58 |
| 56 | SOHRABI Mehdi | 69 |
| 65 | TZORTZAKIS Polychronis | 80 |
| 67 | SAINBAYAR Jambaljamts | 60 |
| 75 | RAPPS Dario | 73 |
| 77 | BAT-ERDENE Narankhuu | 73 |