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 + 41
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GALEDO Mark John Lexer | 58 |
| 4 | EBSEN John | 58 |
| 5 | PHOUNSAVATH Ariya | 67 |
| 6 | ALIZADEH Hossein | 62 |
| 11 | GOH Choon Huat | 54 |
| 12 | DE JONGE Maarten | 65 |
| 19 | FELIPE Marcelo | 58 |
| 24 | PARK Sung Baek | 73 |
| 25 | NISHITANI Taiji | 62 |
| 26 | SEO Joon Yong | 66 |
| 35 | OCONER George | 59 |
| 36 | MIRZA Yousif | 60 |
| 41 | NAKANE Hideto | 55 |
| 42 | SALEH Mohd Zamri | 58 |
| 43 | NOVARDIANTO Jamalidin | 69 |
| 47 | MAT AMIN Mohd Shahrul | 54 |