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 = -0.6 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Khalmuratov
2
68 kgSainbayar
4
60 kgBocharov
5
72 kgAliyari
6
76 kgRaileanu
7
63 kgMudgway
9
65 kgStravers
10
73 kgTsvetkov
17
67 kgPrades
19
56 kgSeyfollahifard
22
76 kgBobosherov
24
71 kgAbe
25
56 kgLabib Shotorban
28
60 kgNakashima
30
59 kgYokotsuka
32
70 kgBaasankhuu
34
62 kgWijfje
38
66 kgElli
43
62 kgMukaigawa
45
64 kgTroman
47
68 kg
2
68 kgSainbayar
4
60 kgBocharov
5
72 kgAliyari
6
76 kgRaileanu
7
63 kgMudgway
9
65 kgStravers
10
73 kgTsvetkov
17
67 kgPrades
19
56 kgSeyfollahifard
22
76 kgBobosherov
24
71 kgAbe
25
56 kgLabib Shotorban
28
60 kgNakashima
30
59 kgYokotsuka
32
70 kgBaasankhuu
34
62 kgWijfje
38
66 kgElli
43
62 kgMukaigawa
45
64 kgTroman
47
68 kg
Weight (KG) →
Result →
76
56
2
47
# | Rider | Weight (KG) |
---|---|---|
2 | KHALMURATOV Muradjan | 68 |
4 | SAINBAYAR Jambaljamts | 60 |
5 | BOCHAROV Dmitriy | 72 |
6 | ALIYARI Aidin | 76 |
7 | RAILEANU Cristian | 63 |
9 | MUDGWAY Luke | 65 |
10 | STRAVERS Jarri | 73 |
17 | TSVETKOV Nikita | 67 |
19 | PRADES Benjamín | 56 |
22 | SEYFOLLAHIFARD Hasan | 76 |
24 | BOBOSHEROV Farrukh | 71 |
25 | ABE Gen | 56 |
28 | LABIB SHOTORBAN Ali | 60 |
30 | NAKASHIMA Masato | 59 |
32 | YOKOTSUKA Kohei | 70 |
34 | BAASANKHUU Myagmarsuren | 62 |
38 | WIJFJE Tom | 66 |
43 | ELLI Konstantin | 62 |
45 | MUKAIGAWA Naoki | 64 |
47 | TROMAN Vladislav | 68 |