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 + 11
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Suzuki
1
60 kgNishitani
2
62 kgKiendyś
8
78 kgBeuchat
9
62 kgSaleh
11
58 kgTang
13
62 kgTsuji
14
62 kgWong
21
65 kgLisowicz
26
85 kgGruzdev
35
78 kgHanson
40
74 kgShushemoin
43
62 kgUchima
53
63 kgWu
60
68 kgFeng
62
68 kgBodnar
73
68 kgMatysiak
75
71 kgSuzuki
78
57 kgFukuda
82
70 kgMukaigawa
83
64 kgBouglas
87
71 kg
1
60 kgNishitani
2
62 kgKiendyś
8
78 kgBeuchat
9
62 kgSaleh
11
58 kgTang
13
62 kgTsuji
14
62 kgWong
21
65 kgLisowicz
26
85 kgGruzdev
35
78 kgHanson
40
74 kgShushemoin
43
62 kgUchima
53
63 kgWu
60
68 kgFeng
62
68 kgBodnar
73
68 kgMatysiak
75
71 kgSuzuki
78
57 kgFukuda
82
70 kgMukaigawa
83
64 kgBouglas
87
71 kg
Weight (KG) →
Result →
85
57
1
87
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SUZUKI Shinri | 60 |
| 2 | NISHITANI Taiji | 62 |
| 8 | KIENDYŚ Tomasz | 78 |
| 9 | BEUCHAT Roger | 62 |
| 11 | SALEH Mohd Zamri | 58 |
| 13 | TANG Wang Yip | 62 |
| 14 | TSUJI Yoshimitsu | 62 |
| 21 | WONG Kam-Po | 65 |
| 26 | LISOWICZ Tomasz | 85 |
| 35 | GRUZDEV Dmitriy | 78 |
| 40 | HANSON Ken | 74 |
| 43 | SHUSHEMOIN Alexandr | 62 |
| 53 | UCHIMA Kohei | 63 |
| 60 | WU Kin San | 68 |
| 62 | FENG Chun Kai | 68 |
| 73 | BODNAR Łukasz | 68 |
| 75 | MATYSIAK Bartłomiej | 71 |
| 78 | SUZUKI Yuzuru | 57 |
| 82 | FUKUDA Shinpei | 70 |
| 83 | MUKAIGAWA Naoki | 64 |
| 87 | BOUGLAS Georgios | 71 |