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 = 0.4 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Prades
1
56 kgRaileanu
2
63 kgSainbayar
6
60 kgBocharov
8
72 kgMudgway
9
65 kgKhalmuratov
10
68 kgLabib Shotorban
15
60 kgAliyari
17
76 kgAbe
18
56 kgBobosherov
20
71 kgElli
27
62 kgStravers
28
73 kgBaasankhuu
31
62 kgYokotsuka
33
70 kgWijfje
34
66 kgTroman
40
68 kgNakashima
41
59 kgTsvetkov
43
67 kgMukaigawa
44
64 kg
1
56 kgRaileanu
2
63 kgSainbayar
6
60 kgBocharov
8
72 kgMudgway
9
65 kgKhalmuratov
10
68 kgLabib Shotorban
15
60 kgAliyari
17
76 kgAbe
18
56 kgBobosherov
20
71 kgElli
27
62 kgStravers
28
73 kgBaasankhuu
31
62 kgYokotsuka
33
70 kgWijfje
34
66 kgTroman
40
68 kgNakashima
41
59 kgTsvetkov
43
67 kgMukaigawa
44
64 kg
Weight (KG) →
Result →
76
56
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRADES Benjamín | 56 |
| 2 | RAILEANU Cristian | 63 |
| 6 | SAINBAYAR Jambaljamts | 60 |
| 8 | BOCHAROV Dmitriy | 72 |
| 9 | MUDGWAY Luke | 65 |
| 10 | KHALMURATOV Muradjan | 68 |
| 15 | LABIB SHOTORBAN Ali | 60 |
| 17 | ALIYARI Aidin | 76 |
| 18 | ABE Gen | 56 |
| 20 | BOBOSHEROV Farrukh | 71 |
| 27 | ELLI Konstantin | 62 |
| 28 | STRAVERS Jarri | 73 |
| 31 | BAASANKHUU Myagmarsuren | 62 |
| 33 | YOKOTSUKA Kohei | 70 |
| 34 | WIJFJE Tom | 66 |
| 40 | TROMAN Vladislav | 68 |
| 41 | NAKASHIMA Masato | 59 |
| 43 | TSVETKOV Nikita | 67 |
| 44 | MUKAIGAWA Naoki | 64 |