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 = -1.5 * weight + 120
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SALEH Mohd Harrif | 70 |
| 3 | NAKAJIMA Yasuharu | 64 |
| 4 | LAKASEK Irwandie | 71 |
| 8 | HIRAI Eiichi | 63 |
| 10 | AMAGOI Tatsuki | 62 |
| 19 | POULHIÈS Stéphane | 75 |
| 20 | NAKANISHI Kenji | 60 |
| 26 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 30 | ARASHIRO Yudai | 65 |
| 33 | OTHMAN Muhamad Afiq Husaine | 57 |
| 35 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 41 | LEBAS Thomas | 65 |
| 43 | MAT AMIN Mohd Shahrul | 54 |
| 47 | KAMYSHEV Arman | 67 |
| 48 | TOKUDA Suguru | 65 |
| 57 | CARCUEVA Jonel | 51 |