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 + 13
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KERS Koos Jeroen | 71 |
| 13 | JANG Chan Jae | 64 |
| 18 | GOH Choon Huat | 54 |
| 26 | GALEDO Mark John Lexer | 58 |
| 27 | WACKER Eugen | 65 |
| 33 | MORALES Jan Paul Montealegre | 59 |
| 35 | SALEH Mohd Zamri | 58 |
| 39 | FUKUSHIMA Shinichi | 62 |
| 45 | FUKUDA Shinpei | 70 |
| 58 | MAT AMIN Mohd Shahrul | 54 |
| 63 | FENG Chun Kai | 68 |
| 70 | SALEH Mohd Harrif | 70 |