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 * weight + 27
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Carstensen
1
69 kgVasylyuk
4
65 kgBani
6
72 kgRapps
8
73 kgGaleyev
10
68 kgTzortzakis
12
80 kgSohrabi
14
69 kgBat-Erdene
16
73 kgRathe
18
74 kgMoazemi
20
70 kgSainbayar
30
60 kgCastillo
34
72 kgKolahdozhagh
39
60 kgKhalmuratov
40
68 kgIderbold
42
58 kgNieto
43
58 kgDubovski
53
75 kgIlić
54
86 kgGutierrez
59
63 kgLunardon
74
77 kg
1
69 kgVasylyuk
4
65 kgBani
6
72 kgRapps
8
73 kgGaleyev
10
68 kgTzortzakis
12
80 kgSohrabi
14
69 kgBat-Erdene
16
73 kgRathe
18
74 kgMoazemi
20
70 kgSainbayar
30
60 kgCastillo
34
72 kgKolahdozhagh
39
60 kgKhalmuratov
40
68 kgIderbold
42
58 kgNieto
43
58 kgDubovski
53
75 kgIlić
54
86 kgGutierrez
59
63 kgLunardon
74
77 kg
Weight (KG) →
Result →
86
58
1
74
# | Rider | Weight (KG) |
---|---|---|
1 | CARSTENSEN Lucas | 69 |
4 | VASYLYUK Andriy | 65 |
6 | BANI Eugenio | 72 |
8 | RAPPS Dario | 73 |
10 | GALEYEV Vadim | 68 |
12 | TZORTZAKIS Polychronis | 80 |
14 | SOHRABI Mehdi | 69 |
16 | BAT-ERDENE Narankhuu | 73 |
18 | RATHE Jacob | 74 |
20 | MOAZEMI Arvin | 70 |
30 | SAINBAYAR Jambaljamts | 60 |
34 | CASTILLO Ulises Alfredo | 72 |
39 | KOLAHDOZHAGH Amir | 60 |
40 | KHALMURATOV Muradjan | 68 |
42 | IDERBOLD Bold | 58 |
43 | NIETO Edgar | 58 |
53 | DUBOVSKI Vladzislau | 75 |
54 | ILIĆ Ognjen | 86 |
59 | GUTIERREZ José Manuel | 63 |
74 | LUNARDON Paolo | 77 |