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 = -0.3 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Guardini
1
66 kgIglinskiy
4
68 kgKreder
5
70 kgColbrelli
6
74 kgGène
7
67 kgFukushima
9
62 kgSaleh
14
70 kgDelle Stelle
15
65 kgReza
17
71 kgGoesinnen
20
75 kgNishitani
21
62 kgCanola
23
66 kgSaleh
24
58 kgSeo
25
66 kgJang
26
64 kgHaghi
29
78 kgGonzález
30
55 kgTong
31
70 kgDyachenko
32
65 kg
1
66 kgIglinskiy
4
68 kgKreder
5
70 kgColbrelli
6
74 kgGène
7
67 kgFukushima
9
62 kgSaleh
14
70 kgDelle Stelle
15
65 kgReza
17
71 kgGoesinnen
20
75 kgNishitani
21
62 kgCanola
23
66 kgSaleh
24
58 kgSeo
25
66 kgJang
26
64 kgHaghi
29
78 kgGonzález
30
55 kgTong
31
70 kgDyachenko
32
65 kg
Weight (KG) →
Result →
78
55
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUARDINI Andrea | 66 |
| 4 | IGLINSKIY Valentin | 68 |
| 5 | KREDER Raymond | 70 |
| 6 | COLBRELLI Sonny | 74 |
| 7 | GÈNE Yohann | 67 |
| 9 | FUKUSHIMA Shinichi | 62 |
| 14 | SALEH Mohd Harrif | 70 |
| 15 | DELLE STELLE Christian | 65 |
| 17 | REZA Kévin | 71 |
| 20 | GOESINNEN Floris | 75 |
| 21 | NISHITANI Taiji | 62 |
| 23 | CANOLA Marco | 66 |
| 24 | SALEH Mohd Zamri | 58 |
| 25 | SEO Joon Yong | 66 |
| 26 | JANG Chan Jae | 64 |
| 29 | HAGHI Alireza | 78 |
| 30 | GONZÁLEZ Freddy Excelino | 55 |
| 31 | TONG Weisong | 70 |
| 32 | DYACHENKO Alexandr | 65 |