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 + 43
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PHOUNSAVATH Ariya | 67 |
| 2 | GALEDO Mark John Lexer | 58 |
| 6 | DE JONGE Maarten | 65 |
| 8 | EBSEN John | 58 |
| 9 | ALIZADEH Hossein | 62 |
| 16 | GOH Choon Huat | 54 |
| 19 | FELIPE Marcelo | 58 |
| 23 | NISHITANI Taiji | 62 |
| 26 | PARK Sung Baek | 73 |
| 29 | SEO Joon Yong | 66 |
| 33 | NAKANE Hideto | 55 |
| 36 | NOVARDIANTO Jamalidin | 69 |
| 37 | MAT AMIN Mohd Shahrul | 54 |
| 38 | OCONER George | 59 |
| 44 | MIRZA Yousif | 60 |
| 45 | SALEH Mohd Zamri | 58 |