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 = 0.9 * weight - 40
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Khalmuratov
1
68 kgÖrken
2
69 kgMeijers
3
68 kgStedman
4
54 kgLagab
10
63 kgYokotsuka
11
70 kgParashchak
12
66 kgBulut
13
64 kgHamdan
21
66 kgElli
26
62 kgRostovtsev
27
73 kgÖzgür
33
75 kgNakashima
36
59 kgLakasek
37
71 kgSamli
39
75 kgMukaigawa
40
64 kgCeyhan
41
71 kgSaleh
44
70 kg
1
68 kgÖrken
2
69 kgMeijers
3
68 kgStedman
4
54 kgLagab
10
63 kgYokotsuka
11
70 kgParashchak
12
66 kgBulut
13
64 kgHamdan
21
66 kgElli
26
62 kgRostovtsev
27
73 kgÖzgür
33
75 kgNakashima
36
59 kgLakasek
37
71 kgSamli
39
75 kgMukaigawa
40
64 kgCeyhan
41
71 kgSaleh
44
70 kg
Weight (KG) →
Result →
75
54
1
44
# | Rider | Weight (KG) |
---|---|---|
1 | KHALMURATOV Muradjan | 68 |
2 | ÖRKEN Ahmet | 69 |
3 | MEIJERS Jeroen | 68 |
4 | STEDMAN Maximilian | 54 |
10 | LAGAB Azzedine | 63 |
11 | YOKOTSUKA Kohei | 70 |
12 | PARASHCHAK Yaroslav | 66 |
13 | BULUT Samet | 64 |
21 | HAMDAN Wan Abdul Rahman | 66 |
26 | ELLI Konstantin | 62 |
27 | ROSTOVTSEV Sergey | 73 |
33 | ÖZGÜR Batuhan | 75 |
36 | NAKASHIMA Masato | 59 |
37 | LAKASEK Irwandie | 71 |
39 | SAMLI Feritcan | 75 |
40 | MUKAIGAWA Naoki | 64 |
41 | CEYHAN Hakki Adnan | 71 |
44 | SALEH Mohd Harrif | 70 |