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 = -0.1 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Park
2
73 kgNishitani
3
62 kgMiyazawa
4
61 kgHoffmann
9
65 kgMurphy
10
81 kgAbe
13
67 kgWong
16
65 kgMifune
17
70 kgUchima
18
63 kgTang
20
62 kgSuzuki
21
57 kgKuboki
23
68 kgSaleh
34
58 kgFukushima
47
62 kgSuzuki
49
60 kgJones
50
64 kgSlagter
69
57 kgWu
70
68 kgFeng
89
68 kgMcCann
93
73 kg
2
73 kgNishitani
3
62 kgMiyazawa
4
61 kgHoffmann
9
65 kgMurphy
10
81 kgAbe
13
67 kgWong
16
65 kgMifune
17
70 kgUchima
18
63 kgTang
20
62 kgSuzuki
21
57 kgKuboki
23
68 kgSaleh
34
58 kgFukushima
47
62 kgSuzuki
49
60 kgJones
50
64 kgSlagter
69
57 kgWu
70
68 kgFeng
89
68 kgMcCann
93
73 kg
Weight (KG) →
Result →
81
57
2
93
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PARK Sung Baek | 73 |
| 3 | NISHITANI Taiji | 62 |
| 4 | MIYAZAWA Takashi | 61 |
| 9 | HOFFMANN Erik | 65 |
| 10 | MURPHY John | 81 |
| 13 | ABE Yoshiyuki | 67 |
| 16 | WONG Kam-Po | 65 |
| 17 | MIFUNE Masahiko | 70 |
| 18 | UCHIMA Kohei | 63 |
| 20 | TANG Wang Yip | 62 |
| 21 | SUZUKI Yuzuru | 57 |
| 23 | KUBOKI Kazushige | 68 |
| 34 | SALEH Mohd Zamri | 58 |
| 47 | FUKUSHIMA Shinichi | 62 |
| 49 | SUZUKI Shinri | 60 |
| 50 | JONES Chris | 64 |
| 69 | SLAGTER Tom-Jelte | 57 |
| 70 | WU Kin San | 68 |
| 89 | FENG Chun Kai | 68 |
| 93 | MCCANN David | 73 |