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 = 1.7 * weight - 79
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Nepomnyachshiy
1
62 kgKamyshev
2
67 kgMazuki
4
57 kgNakajima
6
64 kgCarcueva
9
51 kgNakanishi
13
60 kgTokuda
14
65 kgLebas
16
65 kgArashiro
17
65 kgMat Amin
27
54 kgOthman
29
57 kgHirai
33
63 kgTokuda
46
67 kgAmagoi
47
62 kgPoulhiès
51
75 kgLakasek
54
71 kgSaleh
58
70 kg
1
62 kgKamyshev
2
67 kgMazuki
4
57 kgNakajima
6
64 kgCarcueva
9
51 kgNakanishi
13
60 kgTokuda
14
65 kgLebas
16
65 kgArashiro
17
65 kgMat Amin
27
54 kgOthman
29
57 kgHirai
33
63 kgTokuda
46
67 kgAmagoi
47
62 kgPoulhiès
51
75 kgLakasek
54
71 kgSaleh
58
70 kg
Weight (KG) →
Result →
75
51
1
58
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 2 | KAMYSHEV Arman | 67 |
| 4 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 6 | NAKAJIMA Yasuharu | 64 |
| 9 | CARCUEVA Jonel | 51 |
| 13 | NAKANISHI Kenji | 60 |
| 14 | TOKUDA Suguru | 65 |
| 16 | LEBAS Thomas | 65 |
| 17 | ARASHIRO Yudai | 65 |
| 27 | MAT AMIN Mohd Shahrul | 54 |
| 29 | OTHMAN Muhamad Afiq Husaine | 57 |
| 33 | HIRAI Eiichi | 63 |
| 46 | TOKUDA Tanzo | 67 |
| 47 | AMAGOI Tatsuki | 62 |
| 51 | POULHIÈS Stéphane | 75 |
| 54 | LAKASEK Irwandie | 71 |
| 58 | SALEH Mohd Harrif | 70 |