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 = 0.7 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Askari
2
73 kgZargari
3
62 kgKolahdozhagh
4
60 kgNakane
6
55 kgMizbani
7
67 kgPrades
8
63 kgSafarzadeh
10
66 kgAlizadeh
11
62 kgPrades
13
56 kgNieto
16
58 kgGaledo
18
58 kgFelipe
22
58 kgMoazemi
25
70 kgWijaya
26
58 kgCahyadi
30
52 kgPourhashemi
44
64 kgSohrabi
47
69 kgFukuda
51
70 kgManulang
56
59 kgNakajima
57
64 kgNovardianto
61
69 kg
2
73 kgZargari
3
62 kgKolahdozhagh
4
60 kgNakane
6
55 kgMizbani
7
67 kgPrades
8
63 kgSafarzadeh
10
66 kgAlizadeh
11
62 kgPrades
13
56 kgNieto
16
58 kgGaledo
18
58 kgFelipe
22
58 kgMoazemi
25
70 kgWijaya
26
58 kgCahyadi
30
52 kgPourhashemi
44
64 kgSohrabi
47
69 kgFukuda
51
70 kgManulang
56
59 kgNakajima
57
64 kgNovardianto
61
69 kg
Weight (KG) →
Result →
73
52
2
61
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ASKARI Hossein | 73 |
| 3 | ZARGARI Amir | 62 |
| 4 | KOLAHDOZHAGH Amir | 60 |
| 6 | NAKANE Hideto | 55 |
| 7 | MIZBANI Ghader | 67 |
| 8 | PRADES Eduard | 63 |
| 10 | SAFARZADEH Saeid | 66 |
| 11 | ALIZADEH Hossein | 62 |
| 13 | PRADES Benjamín | 56 |
| 16 | NIETO Edgar | 58 |
| 18 | GALEDO Mark John Lexer | 58 |
| 22 | FELIPE Marcelo | 58 |
| 25 | MOAZEMI Arvin | 70 |
| 26 | WIJAYA Endra | 58 |
| 30 | CAHYADI Aiman | 52 |
| 44 | POURHASHEMI Hamid | 64 |
| 47 | SOHRABI Mehdi | 69 |
| 51 | FUKUDA Shinpei | 70 |
| 56 | MANULANG Robin | 59 |
| 57 | NAKAJIMA Yasuharu | 64 |
| 61 | NOVARDIANTO Jamalidin | 69 |