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 = -0.5 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Sainbayar
5
60 kgKreder
6
70 kgKoishi
8
62 kgJang
9
64 kgPeng
10
65 kgPrades
13
56 kgKuzmin
14
66 kgSunderland
15
67 kgChaiyasombat
17
58 kgCarstensen
18
69 kgSaleh
22
70 kgAliyev
23
67 kgFelipe
27
58 kgLiphongyu
31
61 kgCahyadi
33
52 kgKim
34
68 kgSirironnachai
37
61 kgPareja
38
52 kgEarle
39
70 kgPhounsavath
41
67 kgYamamoto
44
63 kgGrospe
45
54 kg
5
60 kgKreder
6
70 kgKoishi
8
62 kgJang
9
64 kgPeng
10
65 kgPrades
13
56 kgKuzmin
14
66 kgSunderland
15
67 kgChaiyasombat
17
58 kgCarstensen
18
69 kgSaleh
22
70 kgAliyev
23
67 kgFelipe
27
58 kgLiphongyu
31
61 kgCahyadi
33
52 kgKim
34
68 kgSirironnachai
37
61 kgPareja
38
52 kgEarle
39
70 kgPhounsavath
41
67 kgYamamoto
44
63 kgGrospe
45
54 kg
Weight (KG) →
Result →
70
52
5
45
# | Rider | Weight (KG) |
---|---|---|
5 | SAINBAYAR Jambaljamts | 60 |
6 | KREDER Raymond | 70 |
8 | KOISHI Yuma | 62 |
9 | JANG Kyung-Gu | 64 |
10 | PENG Yuan Tang | 65 |
13 | PRADES Benjamín | 56 |
14 | KUZMIN Anton | 66 |
15 | SUNDERLAND Dylan | 67 |
17 | CHAIYASOMBAT Thanakhan | 58 |
18 | CARSTENSEN Lucas | 69 |
22 | SALEH Mohd Harrif | 70 |
23 | ALIYEV Ruslan | 67 |
27 | FELIPE Marcelo | 58 |
31 | LIPHONGYU Navuti | 61 |
33 | CAHYADI Aiman | 52 |
34 | KIM Euro | 68 |
37 | SIRIRONNACHAI Sarawut | 61 |
38 | PAREJA Nichol Blanca | 52 |
39 | EARLE Nathan | 70 |
41 | PHOUNSAVATH Ariya | 67 |
44 | YAMAMOTO Masaki | 63 |
45 | GROSPE Ismael Jr. | 54 |