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 + 69
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Khalmuratov
2
68 kgBocharov
4
72 kgSainbayar
5
60 kgAliyari
7
76 kgRaileanu
8
63 kgMudgway
10
65 kgStravers
11
73 kgBobosherov
15
71 kgPrades
16
56 kgTsvetkov
20
67 kgYokotsuka
22
70 kgTroman
23
68 kgNakashima
24
59 kgSeyfollahifard
26
76 kgLabib Shotorban
28
60 kgAbe
31
56 kgWijfje
32
66 kgBaasankhuu
36
62 kgMukaigawa
43
64 kgElli
52
62 kg
2
68 kgBocharov
4
72 kgSainbayar
5
60 kgAliyari
7
76 kgRaileanu
8
63 kgMudgway
10
65 kgStravers
11
73 kgBobosherov
15
71 kgPrades
16
56 kgTsvetkov
20
67 kgYokotsuka
22
70 kgTroman
23
68 kgNakashima
24
59 kgSeyfollahifard
26
76 kgLabib Shotorban
28
60 kgAbe
31
56 kgWijfje
32
66 kgBaasankhuu
36
62 kgMukaigawa
43
64 kgElli
52
62 kg
Weight (KG) →
Result →
76
56
2
52
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KHALMURATOV Muradjan | 68 |
| 4 | BOCHAROV Dmitriy | 72 |
| 5 | SAINBAYAR Jambaljamts | 60 |
| 7 | ALIYARI Aidin | 76 |
| 8 | RAILEANU Cristian | 63 |
| 10 | MUDGWAY Luke | 65 |
| 11 | STRAVERS Jarri | 73 |
| 15 | BOBOSHEROV Farrukh | 71 |
| 16 | PRADES Benjamín | 56 |
| 20 | TSVETKOV Nikita | 67 |
| 22 | YOKOTSUKA Kohei | 70 |
| 23 | TROMAN Vladislav | 68 |
| 24 | NAKASHIMA Masato | 59 |
| 26 | SEYFOLLAHIFARD Hasan | 76 |
| 28 | LABIB SHOTORBAN Ali | 60 |
| 31 | ABE Gen | 56 |
| 32 | WIJFJE Tom | 66 |
| 36 | BAASANKHUU Myagmarsuren | 62 |
| 43 | MUKAIGAWA Naoki | 64 |
| 52 | ELLI Konstantin | 62 |