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 + 29
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Sainbayar
2
60 kgTsvetkov
3
67 kgMudgway
4
65 kgBocharov
5
72 kgPrades
6
56 kgStravers
11
73 kgAliyari
12
76 kgAbe
13
56 kgSeyfollahifard
17
76 kgKhalmuratov
18
68 kgRaileanu
22
63 kgLabib Shotorban
30
60 kgElli
32
62 kgBaasankhuu
37
62 kgBobosherov
39
71 kgWijfje
40
66 kgNakashima
41
59 kgYokotsuka
44
70 kgMukaigawa
45
64 kgTroman
49
68 kg
2
60 kgTsvetkov
3
67 kgMudgway
4
65 kgBocharov
5
72 kgPrades
6
56 kgStravers
11
73 kgAliyari
12
76 kgAbe
13
56 kgSeyfollahifard
17
76 kgKhalmuratov
18
68 kgRaileanu
22
63 kgLabib Shotorban
30
60 kgElli
32
62 kgBaasankhuu
37
62 kgBobosherov
39
71 kgWijfje
40
66 kgNakashima
41
59 kgYokotsuka
44
70 kgMukaigawa
45
64 kgTroman
49
68 kg
Weight (KG) →
Result →
76
56
2
49
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SAINBAYAR Jambaljamts | 60 |
| 3 | TSVETKOV Nikita | 67 |
| 4 | MUDGWAY Luke | 65 |
| 5 | BOCHAROV Dmitriy | 72 |
| 6 | PRADES Benjamín | 56 |
| 11 | STRAVERS Jarri | 73 |
| 12 | ALIYARI Aidin | 76 |
| 13 | ABE Gen | 56 |
| 17 | SEYFOLLAHIFARD Hasan | 76 |
| 18 | KHALMURATOV Muradjan | 68 |
| 22 | RAILEANU Cristian | 63 |
| 30 | LABIB SHOTORBAN Ali | 60 |
| 32 | ELLI Konstantin | 62 |
| 37 | BAASANKHUU Myagmarsuren | 62 |
| 39 | BOBOSHEROV Farrukh | 71 |
| 40 | WIJFJE Tom | 66 |
| 41 | NAKASHIMA Masato | 59 |
| 44 | YOKOTSUKA Kohei | 70 |
| 45 | MUKAIGAWA Naoki | 64 |
| 49 | TROMAN Vladislav | 68 |