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 + 25
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Fukuda
3
70 kgPrades
4
63 kgNakane
5
55 kgPrades
9
56 kgSohrabi
12
69 kgFelipe
15
58 kgAskari
21
73 kgKolahdozhagh
23
60 kgMizbani
24
67 kgManulang
28
59 kgAlizadeh
31
62 kgGaledo
32
58 kgZargari
38
62 kgSafarzadeh
39
66 kgWijaya
40
58 kgCahyadi
41
52 kgMoazemi
44
70 kgPourhashemi
52
64 kgNakajima
58
64 kgNovardianto
61
69 kgNieto
62
58 kg
3
70 kgPrades
4
63 kgNakane
5
55 kgPrades
9
56 kgSohrabi
12
69 kgFelipe
15
58 kgAskari
21
73 kgKolahdozhagh
23
60 kgMizbani
24
67 kgManulang
28
59 kgAlizadeh
31
62 kgGaledo
32
58 kgZargari
38
62 kgSafarzadeh
39
66 kgWijaya
40
58 kgCahyadi
41
52 kgMoazemi
44
70 kgPourhashemi
52
64 kgNakajima
58
64 kgNovardianto
61
69 kgNieto
62
58 kg
Weight (KG) →
Result →
73
52
3
62
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FUKUDA Shinpei | 70 |
| 4 | PRADES Eduard | 63 |
| 5 | NAKANE Hideto | 55 |
| 9 | PRADES Benjamín | 56 |
| 12 | SOHRABI Mehdi | 69 |
| 15 | FELIPE Marcelo | 58 |
| 21 | ASKARI Hossein | 73 |
| 23 | KOLAHDOZHAGH Amir | 60 |
| 24 | MIZBANI Ghader | 67 |
| 28 | MANULANG Robin | 59 |
| 31 | ALIZADEH Hossein | 62 |
| 32 | GALEDO Mark John Lexer | 58 |
| 38 | ZARGARI Amir | 62 |
| 39 | SAFARZADEH Saeid | 66 |
| 40 | WIJAYA Endra | 58 |
| 41 | CAHYADI Aiman | 52 |
| 44 | MOAZEMI Arvin | 70 |
| 52 | POURHASHEMI Hamid | 64 |
| 58 | NAKAJIMA Yasuharu | 64 |
| 61 | NOVARDIANTO Jamalidin | 69 |
| 62 | NIETO Edgar | 58 |