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 + 61
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Park
3
73 kgWong
5
65 kgMurphy
6
81 kgMiyazawa
7
61 kgMifune
8
70 kgUchima
10
63 kgSuzuki
14
57 kgAbe
21
67 kgHoffmann
23
65 kgFukushima
24
62 kgTang
27
62 kgSaleh
31
58 kgNishitani
39
62 kgJones
43
64 kgFeng
46
68 kgWu
50
68 kgSlagter
52
57 kgMcCann
68
73 kgSuzuki
70
60 kgKuboki
78
68 kg
3
73 kgWong
5
65 kgMurphy
6
81 kgMiyazawa
7
61 kgMifune
8
70 kgUchima
10
63 kgSuzuki
14
57 kgAbe
21
67 kgHoffmann
23
65 kgFukushima
24
62 kgTang
27
62 kgSaleh
31
58 kgNishitani
39
62 kgJones
43
64 kgFeng
46
68 kgWu
50
68 kgSlagter
52
57 kgMcCann
68
73 kgSuzuki
70
60 kgKuboki
78
68 kg
Weight (KG) →
Result →
81
57
3
78
# | Rider | Weight (KG) |
---|---|---|
3 | PARK Sung Baek | 73 |
5 | WONG Kam-Po | 65 |
6 | MURPHY John | 81 |
7 | MIYAZAWA Takashi | 61 |
8 | MIFUNE Masahiko | 70 |
10 | UCHIMA Kohei | 63 |
14 | SUZUKI Yuzuru | 57 |
21 | ABE Yoshiyuki | 67 |
23 | HOFFMANN Erik | 65 |
24 | FUKUSHIMA Shinichi | 62 |
27 | TANG Wang Yip | 62 |
31 | SALEH Mohd Zamri | 58 |
39 | NISHITANI Taiji | 62 |
43 | JONES Chris | 64 |
46 | FENG Chun Kai | 68 |
50 | WU Kin San | 68 |
52 | SLAGTER Tom-Jelte | 57 |
68 | MCCANN David | 73 |
70 | SUZUKI Shinri | 60 |
78 | KUBOKI Kazushige | 68 |