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 = -0.8 * weight + 81
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Miyazawa
3
61 kgNishitani
5
62 kgAbe
6
67 kgMifune
7
70 kgMurphy
8
81 kgPark
9
73 kgWong
12
65 kgUchima
15
63 kgFukushima
16
62 kgTang
18
62 kgFeng
21
68 kgJones
31
64 kgKuboki
39
68 kgSlagter
46
57 kgSuzuki
52
60 kgHoffmann
56
65 kgWu
59
68 kgSuzuki
63
57 kgMcCann
64
73 kg
3
61 kgNishitani
5
62 kgAbe
6
67 kgMifune
7
70 kgMurphy
8
81 kgPark
9
73 kgWong
12
65 kgUchima
15
63 kgFukushima
16
62 kgTang
18
62 kgFeng
21
68 kgJones
31
64 kgKuboki
39
68 kgSlagter
46
57 kgSuzuki
52
60 kgHoffmann
56
65 kgWu
59
68 kgSuzuki
63
57 kgMcCann
64
73 kg
Weight (KG) →
Result →
81
57
3
64
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MIYAZAWA Takashi | 61 |
| 5 | NISHITANI Taiji | 62 |
| 6 | ABE Yoshiyuki | 67 |
| 7 | MIFUNE Masahiko | 70 |
| 8 | MURPHY John | 81 |
| 9 | PARK Sung Baek | 73 |
| 12 | WONG Kam-Po | 65 |
| 15 | UCHIMA Kohei | 63 |
| 16 | FUKUSHIMA Shinichi | 62 |
| 18 | TANG Wang Yip | 62 |
| 21 | FENG Chun Kai | 68 |
| 31 | JONES Chris | 64 |
| 39 | KUBOKI Kazushige | 68 |
| 46 | SLAGTER Tom-Jelte | 57 |
| 52 | SUZUKI Shinri | 60 |
| 56 | HOFFMANN Erik | 65 |
| 59 | WU Kin San | 68 |
| 63 | SUZUKI Yuzuru | 57 |
| 64 | MCCANN David | 73 |