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 = -0.4 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Nakajima
1
64 kgMat Amin
5
54 kgKamyshev
15
67 kgAmagoi
16
62 kgPoulhiès
17
75 kgLakasek
19
71 kgSaleh
22
70 kgCarcueva
26
51 kgOthman
35
57 kgTokuda
38
67 kgNepomnyachshiy
40
62 kgLebas
42
65 kgNakanishi
46
60 kgArashiro
51
65 kgTokuda
53
65 kgHirai
57
63 kgMazuki
58
57 kg
1
64 kgMat Amin
5
54 kgKamyshev
15
67 kgAmagoi
16
62 kgPoulhiès
17
75 kgLakasek
19
71 kgSaleh
22
70 kgCarcueva
26
51 kgOthman
35
57 kgTokuda
38
67 kgNepomnyachshiy
40
62 kgLebas
42
65 kgNakanishi
46
60 kgArashiro
51
65 kgTokuda
53
65 kgHirai
57
63 kgMazuki
58
57 kg
Weight (KG) →
Result →
75
51
1
58
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAKAJIMA Yasuharu | 64 |
| 5 | MAT AMIN Mohd Shahrul | 54 |
| 15 | KAMYSHEV Arman | 67 |
| 16 | AMAGOI Tatsuki | 62 |
| 17 | POULHIÈS Stéphane | 75 |
| 19 | LAKASEK Irwandie | 71 |
| 22 | SALEH Mohd Harrif | 70 |
| 26 | CARCUEVA Jonel | 51 |
| 35 | OTHMAN Muhamad Afiq Husaine | 57 |
| 38 | TOKUDA Tanzo | 67 |
| 40 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 42 | LEBAS Thomas | 65 |
| 46 | NAKANISHI Kenji | 60 |
| 51 | ARASHIRO Yudai | 65 |
| 53 | TOKUDA Suguru | 65 |
| 57 | HIRAI Eiichi | 63 |
| 58 | MAZUKI Nur Amirul Fakhruddin | 57 |