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 + 57
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Fukushima
4
62 kgNishitani
5
62 kgBeuchat
6
62 kgFriedman
9
82 kgWong
11
65 kgXu
16
69 kgJiang
17
71 kgAlizadeh
18
62 kgJiao
20
65 kgChan
22
70 kgPark
23
73 kgChoe
25
63 kgReijnen
27
63 kgRoutley
28
69 kgJang
30
64 kgSeo
36
66 kgCheung
48
59 kgWu
52
68 kgUchima
55
63 kg
4
62 kgNishitani
5
62 kgBeuchat
6
62 kgFriedman
9
82 kgWong
11
65 kgXu
16
69 kgJiang
17
71 kgAlizadeh
18
62 kgJiao
20
65 kgChan
22
70 kgPark
23
73 kgChoe
25
63 kgReijnen
27
63 kgRoutley
28
69 kgJang
30
64 kgSeo
36
66 kgCheung
48
59 kgWu
52
68 kgUchima
55
63 kg
Weight (KG) →
Result →
82
59
4
55
# | Rider | Weight (KG) |
---|---|---|
4 | FUKUSHIMA Shinichi | 62 |
5 | NISHITANI Taiji | 62 |
6 | BEUCHAT Roger | 62 |
9 | FRIEDMAN Michael | 82 |
11 | WONG Kam-Po | 65 |
16 | XU Gang | 69 |
17 | JIANG Kun | 71 |
18 | ALIZADEH Hossein | 62 |
20 | JIAO Pengda | 65 |
22 | CHAN Chun Hing | 70 |
23 | PARK Sung Baek | 73 |
25 | CHOE Hyeong Min | 63 |
27 | REIJNEN Kiel | 63 |
28 | ROUTLEY Will | 69 |
30 | JANG Kyung-Gu | 64 |
36 | SEO Joon Yong | 66 |
48 | CHEUNG King Lok | 59 |
52 | WU Kin San | 68 |
55 | UCHIMA Kohei | 63 |