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 = 1 * weight - 37
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Rathe
1
74 kgNieto
4
58 kgCastillo
6
72 kgVasylyuk
8
65 kgMoazemi
9
70 kgKhalmuratov
14
68 kgDubovski
15
75 kgKolahdozhagh
16
60 kgCarstensen
21
69 kgBani
22
72 kgGaleyev
24
68 kgSohrabi
39
69 kgRapps
46
73 kgSainbayar
48
60 kgTzortzakis
51
80 kgIderbold
54
58 kgGutierrez
56
63 kgLunardon
62
77 kgBat-Erdene
65
73 kgIlić
75
86 kg
1
74 kgNieto
4
58 kgCastillo
6
72 kgVasylyuk
8
65 kgMoazemi
9
70 kgKhalmuratov
14
68 kgDubovski
15
75 kgKolahdozhagh
16
60 kgCarstensen
21
69 kgBani
22
72 kgGaleyev
24
68 kgSohrabi
39
69 kgRapps
46
73 kgSainbayar
48
60 kgTzortzakis
51
80 kgIderbold
54
58 kgGutierrez
56
63 kgLunardon
62
77 kgBat-Erdene
65
73 kgIlić
75
86 kg
Weight (KG) →
Result →
86
58
1
75
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RATHE Jacob | 74 |
| 4 | NIETO Edgar | 58 |
| 6 | CASTILLO Ulises Alfredo | 72 |
| 8 | VASYLYUK Andriy | 65 |
| 9 | MOAZEMI Arvin | 70 |
| 14 | KHALMURATOV Muradjan | 68 |
| 15 | DUBOVSKI Vladzislau | 75 |
| 16 | KOLAHDOZHAGH Amir | 60 |
| 21 | CARSTENSEN Lucas | 69 |
| 22 | BANI Eugenio | 72 |
| 24 | GALEYEV Vadim | 68 |
| 39 | SOHRABI Mehdi | 69 |
| 46 | RAPPS Dario | 73 |
| 48 | SAINBAYAR Jambaljamts | 60 |
| 51 | TZORTZAKIS Polychronis | 80 |
| 54 | IDERBOLD Bold | 58 |
| 56 | GUTIERREZ José Manuel | 63 |
| 62 | LUNARDON Paolo | 77 |
| 65 | BAT-ERDENE Narankhuu | 73 |
| 75 | ILIĆ Ognjen | 86 |