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 - 8
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Iglinskiy
1
68 kgFofonov
2
65 kgSuzuki
3
60 kgTang
10
62 kgMizurov
12
68 kgUchima
13
63 kgShushemoin
14
62 kgAbe
19
66 kgKazemi
22
71 kgSuzuki
25
57 kgSohrabi
26
69 kgGruzdev
28
78 kgSano
35
76 kgHatanaka
36
72 kgNishitani
37
62 kgJang
40
64 kgTsuji
50
62 kgKosaka
56
62 kgWestphal
60
75 kgMukaigawa
65
64 kg
1
68 kgFofonov
2
65 kgSuzuki
3
60 kgTang
10
62 kgMizurov
12
68 kgUchima
13
63 kgShushemoin
14
62 kgAbe
19
66 kgKazemi
22
71 kgSuzuki
25
57 kgSohrabi
26
69 kgGruzdev
28
78 kgSano
35
76 kgHatanaka
36
72 kgNishitani
37
62 kgJang
40
64 kgTsuji
50
62 kgKosaka
56
62 kgWestphal
60
75 kgMukaigawa
65
64 kg
Weight (KG) →
Result →
78
57
1
65
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IGLINSKIY Valentin | 68 |
| 2 | FOFONOV Dmitriy | 65 |
| 3 | SUZUKI Shinri | 60 |
| 10 | TANG Wang Yip | 62 |
| 12 | MIZUROV Andrey | 68 |
| 13 | UCHIMA Kohei | 63 |
| 14 | SHUSHEMOIN Alexandr | 62 |
| 19 | ABE Takayuki | 66 |
| 22 | KAZEMI Sarai Ahad | 71 |
| 25 | SUZUKI Yuzuru | 57 |
| 26 | SOHRABI Mehdi | 69 |
| 28 | GRUZDEV Dmitriy | 78 |
| 35 | SANO Junya | 76 |
| 36 | HATANAKA Yusuke | 72 |
| 37 | NISHITANI Taiji | 62 |
| 40 | JANG Chan Jae | 64 |
| 50 | TSUJI Yoshimitsu | 62 |
| 56 | KOSAKA Hikaru | 62 |
| 60 | WESTPHAL Carlo | 75 |
| 65 | MUKAIGAWA Naoki | 64 |