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 + 27
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Sainbayar
3
60 kgKhalmuratov
4
68 kgBocharov
5
72 kgRaileanu
6
63 kgMudgway
8
65 kgPrades
9
56 kgAliyari
13
76 kgStravers
18
73 kgAbe
19
56 kgLabib Shotorban
20
60 kgBobosherov
21
71 kgBaasankhuu
29
62 kgYokotsuka
31
70 kgElli
32
62 kgWijfje
36
66 kgTsvetkov
37
67 kgNakashima
38
59 kgTroman
44
68 kgMukaigawa
45
64 kg
3
60 kgKhalmuratov
4
68 kgBocharov
5
72 kgRaileanu
6
63 kgMudgway
8
65 kgPrades
9
56 kgAliyari
13
76 kgStravers
18
73 kgAbe
19
56 kgLabib Shotorban
20
60 kgBobosherov
21
71 kgBaasankhuu
29
62 kgYokotsuka
31
70 kgElli
32
62 kgWijfje
36
66 kgTsvetkov
37
67 kgNakashima
38
59 kgTroman
44
68 kgMukaigawa
45
64 kg
Weight (KG) →
Result →
76
56
3
45
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SAINBAYAR Jambaljamts | 60 |
| 4 | KHALMURATOV Muradjan | 68 |
| 5 | BOCHAROV Dmitriy | 72 |
| 6 | RAILEANU Cristian | 63 |
| 8 | MUDGWAY Luke | 65 |
| 9 | PRADES Benjamín | 56 |
| 13 | ALIYARI Aidin | 76 |
| 18 | STRAVERS Jarri | 73 |
| 19 | ABE Gen | 56 |
| 20 | LABIB SHOTORBAN Ali | 60 |
| 21 | BOBOSHEROV Farrukh | 71 |
| 29 | BAASANKHUU Myagmarsuren | 62 |
| 31 | YOKOTSUKA Kohei | 70 |
| 32 | ELLI Konstantin | 62 |
| 36 | WIJFJE Tom | 66 |
| 37 | TSVETKOV Nikita | 67 |
| 38 | NAKASHIMA Masato | 59 |
| 44 | TROMAN Vladislav | 68 |
| 45 | MUKAIGAWA Naoki | 64 |