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 + 8
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Westphal
2
75 kgIglinskiy
3
68 kgNishitani
4
62 kgKosaka
6
62 kgSohrabi
7
69 kgJang
13
64 kgHatanaka
22
72 kgSuzuki
23
57 kgSuzuki
25
60 kgTsuji
30
62 kgMukaigawa
35
64 kgUchima
41
63 kgMizurov
44
68 kgShushemoin
48
62 kgSano
55
76 kgKazemi
67
71 kgGruzdev
77
78 kgMizbani
100
67 kgTang
114
62 kgFofonov
119
65 kgAbe
121
66 kg
2
75 kgIglinskiy
3
68 kgNishitani
4
62 kgKosaka
6
62 kgSohrabi
7
69 kgJang
13
64 kgHatanaka
22
72 kgSuzuki
23
57 kgSuzuki
25
60 kgTsuji
30
62 kgMukaigawa
35
64 kgUchima
41
63 kgMizurov
44
68 kgShushemoin
48
62 kgSano
55
76 kgKazemi
67
71 kgGruzdev
77
78 kgMizbani
100
67 kgTang
114
62 kgFofonov
119
65 kgAbe
121
66 kg
Weight (KG) →
Result →
78
57
2
121
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WESTPHAL Carlo | 75 |
| 3 | IGLINSKIY Valentin | 68 |
| 4 | NISHITANI Taiji | 62 |
| 6 | KOSAKA Hikaru | 62 |
| 7 | SOHRABI Mehdi | 69 |
| 13 | JANG Chan Jae | 64 |
| 22 | HATANAKA Yusuke | 72 |
| 23 | SUZUKI Yuzuru | 57 |
| 25 | SUZUKI Shinri | 60 |
| 30 | TSUJI Yoshimitsu | 62 |
| 35 | MUKAIGAWA Naoki | 64 |
| 41 | UCHIMA Kohei | 63 |
| 44 | MIZUROV Andrey | 68 |
| 48 | SHUSHEMOIN Alexandr | 62 |
| 55 | SANO Junya | 76 |
| 67 | KAZEMI Sarai Ahad | 71 |
| 77 | GRUZDEV Dmitriy | 78 |
| 100 | MIZBANI Ghader | 67 |
| 114 | TANG Wang Yip | 62 |
| 119 | FOFONOV Dmitriy | 65 |
| 121 | ABE Takayuki | 66 |