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 = 0.6 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Murphy
1
81 kgMiyazawa
3
61 kgNishitani
5
62 kgWong
6
65 kgHoffmann
7
65 kgPark
9
73 kgAbe
10
67 kgSuzuki
12
60 kgFukushima
14
62 kgTang
18
62 kgSlagter
23
57 kgKuboki
26
68 kgUchima
28
63 kgJones
29
64 kgSuzuki
34
57 kgWu
47
68 kgFeng
51
68 kgMifune
57
70 kgMcCann
72
73 kg
1
81 kgMiyazawa
3
61 kgNishitani
5
62 kgWong
6
65 kgHoffmann
7
65 kgPark
9
73 kgAbe
10
67 kgSuzuki
12
60 kgFukushima
14
62 kgTang
18
62 kgSlagter
23
57 kgKuboki
26
68 kgUchima
28
63 kgJones
29
64 kgSuzuki
34
57 kgWu
47
68 kgFeng
51
68 kgMifune
57
70 kgMcCann
72
73 kg
Weight (KG) →
Result →
81
57
1
72
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MURPHY John | 81 |
| 3 | MIYAZAWA Takashi | 61 |
| 5 | NISHITANI Taiji | 62 |
| 6 | WONG Kam-Po | 65 |
| 7 | HOFFMANN Erik | 65 |
| 9 | PARK Sung Baek | 73 |
| 10 | ABE Yoshiyuki | 67 |
| 12 | SUZUKI Shinri | 60 |
| 14 | FUKUSHIMA Shinichi | 62 |
| 18 | TANG Wang Yip | 62 |
| 23 | SLAGTER Tom-Jelte | 57 |
| 26 | KUBOKI Kazushige | 68 |
| 28 | UCHIMA Kohei | 63 |
| 29 | JONES Chris | 64 |
| 34 | SUZUKI Yuzuru | 57 |
| 47 | WU Kin San | 68 |
| 51 | FENG Chun Kai | 68 |
| 57 | MIFUNE Masahiko | 70 |
| 72 | MCCANN David | 73 |