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 * weight + 41
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Gruzdev
8
78 kgTsuji
10
62 kgTang
11
62 kgNishitani
14
62 kgBeuchat
17
62 kgShushemoin
19
62 kgSuzuki
22
60 kgLisowicz
26
85 kgHanson
27
74 kgWong
28
65 kgKiendyś
31
78 kgMatysiak
32
71 kgBodnar
33
68 kgFeng
36
68 kgBouglas
42
71 kgSaleh
47
58 kgWu
53
68 kgSuzuki
58
57 kgFukuda
62
70 kgUchima
81
63 kgMukaigawa
85
64 kgEldridge
94
84 kgHuang
96
55 kgHatanaka
105
72 kg
8
78 kgTsuji
10
62 kgTang
11
62 kgNishitani
14
62 kgBeuchat
17
62 kgShushemoin
19
62 kgSuzuki
22
60 kgLisowicz
26
85 kgHanson
27
74 kgWong
28
65 kgKiendyś
31
78 kgMatysiak
32
71 kgBodnar
33
68 kgFeng
36
68 kgBouglas
42
71 kgSaleh
47
58 kgWu
53
68 kgSuzuki
58
57 kgFukuda
62
70 kgUchima
81
63 kgMukaigawa
85
64 kgEldridge
94
84 kgHuang
96
55 kgHatanaka
105
72 kg
Weight (KG) →
Result →
85
55
8
105
# | Rider | Weight (KG) |
---|---|---|
8 | GRUZDEV Dmitriy | 78 |
10 | TSUJI Yoshimitsu | 62 |
11 | TANG Wang Yip | 62 |
14 | NISHITANI Taiji | 62 |
17 | BEUCHAT Roger | 62 |
19 | SHUSHEMOIN Alexandr | 62 |
22 | SUZUKI Shinri | 60 |
26 | LISOWICZ Tomasz | 85 |
27 | HANSON Ken | 74 |
28 | WONG Kam-Po | 65 |
31 | KIENDYŚ Tomasz | 78 |
32 | MATYSIAK Bartłomiej | 71 |
33 | BODNAR Łukasz | 68 |
36 | FENG Chun Kai | 68 |
42 | BOUGLAS Georgios | 71 |
47 | SALEH Mohd Zamri | 58 |
53 | WU Kin San | 68 |
58 | SUZUKI Yuzuru | 57 |
62 | FUKUDA Shinpei | 70 |
81 | UCHIMA Kohei | 63 |
85 | MUKAIGAWA Naoki | 64 |
94 | ELDRIDGE Joe | 84 |
96 | HUANG Wen Chung | 55 |
105 | HATANAKA Yusuke | 72 |