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 = -0.2 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | KERS Koos Jeroen | 71 |
| 19 | JANG Chan Jae | 64 |
| 27 | GALEDO Mark John Lexer | 58 |
| 28 | WACKER Eugen | 65 |
| 30 | GOH Choon Huat | 54 |
| 31 | MORALES Jan Paul Montealegre | 59 |
| 32 | FUKUDA Shinpei | 70 |
| 42 | SALEH Mohd Zamri | 58 |
| 51 | FUKUSHIMA Shinichi | 62 |
| 54 | MAT AMIN Mohd Shahrul | 54 |
| 60 | FENG Chun Kai | 68 |
| 62 | SALEH Mohd Harrif | 70 |