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 - 35
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Khalmuratov
1
68 kgMeijers
2
68 kgÖrken
3
69 kgLagab
4
63 kgParashchak
5
66 kgYokotsuka
9
70 kgStedman
10
54 kgBulut
15
64 kgHamdan
23
66 kgElli
26
62 kgRostovtsev
28
73 kgÖzgür
34
75 kgNakashima
36
59 kgCeyhan
38
71 kgSamli
41
75 kgLakasek
42
71 kgSaleh
43
70 kgMukaigawa
44
64 kg
1
68 kgMeijers
2
68 kgÖrken
3
69 kgLagab
4
63 kgParashchak
5
66 kgYokotsuka
9
70 kgStedman
10
54 kgBulut
15
64 kgHamdan
23
66 kgElli
26
62 kgRostovtsev
28
73 kgÖzgür
34
75 kgNakashima
36
59 kgCeyhan
38
71 kgSamli
41
75 kgLakasek
42
71 kgSaleh
43
70 kgMukaigawa
44
64 kg
Weight (KG) →
Result →
75
54
1
44
# | Rider | Weight (KG) |
---|---|---|
1 | KHALMURATOV Muradjan | 68 |
2 | MEIJERS Jeroen | 68 |
3 | ÖRKEN Ahmet | 69 |
4 | LAGAB Azzedine | 63 |
5 | PARASHCHAK Yaroslav | 66 |
9 | YOKOTSUKA Kohei | 70 |
10 | STEDMAN Maximilian | 54 |
15 | BULUT Samet | 64 |
23 | HAMDAN Wan Abdul Rahman | 66 |
26 | ELLI Konstantin | 62 |
28 | ROSTOVTSEV Sergey | 73 |
34 | ÖZGÜR Batuhan | 75 |
36 | NAKASHIMA Masato | 59 |
38 | CEYHAN Hakki Adnan | 71 |
41 | SAMLI Feritcan | 75 |
42 | LAKASEK Irwandie | 71 |
43 | SALEH Mohd Harrif | 70 |
44 | MUKAIGAWA Naoki | 64 |