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 + 24
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Felipe
3
58 kgNakane
4
55 kgMoazemi
10
70 kgAlizadeh
13
62 kgPrades
18
56 kgPrades
20
63 kgWijaya
22
58 kgNakajima
24
64 kgFukuda
26
70 kgKolahdozhagh
27
60 kgAskari
29
73 kgNovardianto
34
69 kgGaledo
35
58 kgZargari
36
62 kgSohrabi
37
69 kgMizbani
40
67 kgManulang
42
59 kgPourhashemi
43
64 kgSafarzadeh
44
66 kgCahyadi
49
52 kgNieto
53
58 kg
3
58 kgNakane
4
55 kgMoazemi
10
70 kgAlizadeh
13
62 kgPrades
18
56 kgPrades
20
63 kgWijaya
22
58 kgNakajima
24
64 kgFukuda
26
70 kgKolahdozhagh
27
60 kgAskari
29
73 kgNovardianto
34
69 kgGaledo
35
58 kgZargari
36
62 kgSohrabi
37
69 kgMizbani
40
67 kgManulang
42
59 kgPourhashemi
43
64 kgSafarzadeh
44
66 kgCahyadi
49
52 kgNieto
53
58 kg
Weight (KG) →
Result →
73
52
3
53
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FELIPE Marcelo | 58 |
| 4 | NAKANE Hideto | 55 |
| 10 | MOAZEMI Arvin | 70 |
| 13 | ALIZADEH Hossein | 62 |
| 18 | PRADES Benjamín | 56 |
| 20 | PRADES Eduard | 63 |
| 22 | WIJAYA Endra | 58 |
| 24 | NAKAJIMA Yasuharu | 64 |
| 26 | FUKUDA Shinpei | 70 |
| 27 | KOLAHDOZHAGH Amir | 60 |
| 29 | ASKARI Hossein | 73 |
| 34 | NOVARDIANTO Jamalidin | 69 |
| 35 | GALEDO Mark John Lexer | 58 |
| 36 | ZARGARI Amir | 62 |
| 37 | SOHRABI Mehdi | 69 |
| 40 | MIZBANI Ghader | 67 |
| 42 | MANULANG Robin | 59 |
| 43 | POURHASHEMI Hamid | 64 |
| 44 | SAFARZADEH Saeid | 66 |
| 49 | CAHYADI Aiman | 52 |
| 53 | NIETO Edgar | 58 |