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 = 0.6 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Askari
2
73 kgZargari
3
62 kgNakane
4
55 kgKolahdozhagh
5
60 kgMizbani
7
67 kgPrades
8
63 kgSafarzadeh
10
66 kgAlizadeh
11
62 kgPrades
13
56 kgGaledo
17
58 kgFelipe
21
58 kgMoazemi
23
70 kgWijaya
24
58 kgCahyadi
26
52 kgNieto
39
58 kgPourhashemi
41
64 kgSohrabi
46
69 kgFukuda
49
70 kgManulang
51
59 kgNakajima
54
64 kgNovardianto
58
69 kg
2
73 kgZargari
3
62 kgNakane
4
55 kgKolahdozhagh
5
60 kgMizbani
7
67 kgPrades
8
63 kgSafarzadeh
10
66 kgAlizadeh
11
62 kgPrades
13
56 kgGaledo
17
58 kgFelipe
21
58 kgMoazemi
23
70 kgWijaya
24
58 kgCahyadi
26
52 kgNieto
39
58 kgPourhashemi
41
64 kgSohrabi
46
69 kgFukuda
49
70 kgManulang
51
59 kgNakajima
54
64 kgNovardianto
58
69 kg
Weight (KG) →
Result →
73
52
2
58
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ASKARI Hossein | 73 |
| 3 | ZARGARI Amir | 62 |
| 4 | NAKANE Hideto | 55 |
| 5 | KOLAHDOZHAGH Amir | 60 |
| 7 | MIZBANI Ghader | 67 |
| 8 | PRADES Eduard | 63 |
| 10 | SAFARZADEH Saeid | 66 |
| 11 | ALIZADEH Hossein | 62 |
| 13 | PRADES Benjamín | 56 |
| 17 | GALEDO Mark John Lexer | 58 |
| 21 | FELIPE Marcelo | 58 |
| 23 | MOAZEMI Arvin | 70 |
| 24 | WIJAYA Endra | 58 |
| 26 | CAHYADI Aiman | 52 |
| 39 | NIETO Edgar | 58 |
| 41 | POURHASHEMI Hamid | 64 |
| 46 | SOHRABI Mehdi | 69 |
| 49 | FUKUDA Shinpei | 70 |
| 51 | MANULANG Robin | 59 |
| 54 | NAKAJIMA Yasuharu | 64 |
| 58 | NOVARDIANTO Jamalidin | 69 |