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 = -1.6 * weight + 144
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Wong
2
65 kgBeuchat
4
62 kgFriedman
6
82 kgXu
7
69 kgWu
8
68 kgJiao
12
65 kgNishitani
13
62 kgReijnen
15
63 kgFukushima
18
62 kgJiang
21
71 kgSeo
22
66 kgFeng
37
68 kgAlizadeh
47
62 kgChan
54
70 kgUchima
69
63 kgChoe
70
63 kgJang
76
64 kgPark
86
73 kgShimizu
88
60 kgCheung
91
59 kg
2
65 kgBeuchat
4
62 kgFriedman
6
82 kgXu
7
69 kgWu
8
68 kgJiao
12
65 kgNishitani
13
62 kgReijnen
15
63 kgFukushima
18
62 kgJiang
21
71 kgSeo
22
66 kgFeng
37
68 kgAlizadeh
47
62 kgChan
54
70 kgUchima
69
63 kgChoe
70
63 kgJang
76
64 kgPark
86
73 kgShimizu
88
60 kgCheung
91
59 kg
Weight (KG) →
Result →
82
59
2
91
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WONG Kam-Po | 65 |
| 4 | BEUCHAT Roger | 62 |
| 6 | FRIEDMAN Michael | 82 |
| 7 | XU Gang | 69 |
| 8 | WU Kin San | 68 |
| 12 | JIAO Pengda | 65 |
| 13 | NISHITANI Taiji | 62 |
| 15 | REIJNEN Kiel | 63 |
| 18 | FUKUSHIMA Shinichi | 62 |
| 21 | JIANG Kun | 71 |
| 22 | SEO Joon Yong | 66 |
| 37 | FENG Chun Kai | 68 |
| 47 | ALIZADEH Hossein | 62 |
| 54 | CHAN Chun Hing | 70 |
| 69 | UCHIMA Kohei | 63 |
| 70 | CHOE Hyeong Min | 63 |
| 76 | JANG Kyung-Gu | 64 |
| 86 | PARK Sung Baek | 73 |
| 88 | SHIMIZU Miyataka | 60 |
| 91 | CHEUNG King Lok | 59 |