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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAEDO Lucas Sebastián | 64 |
| 2 | MANCEBO Francisco | 64 |
| 3 | CHEUNG King Lok | 59 |
| 4 | NAKAJIMA Yasuharu | 64 |
| 7 | SHIMIZU Miyataka | 60 |
| 8 | JELLOUL Adil | 58 |
| 9 | UCHIMA Kohei | 63 |
| 10 | GOH Choon Huat | 54 |
| 11 | FENG Chun Kai | 68 |
| 12 | KHALMURATOV Muradjan | 68 |
| 13 | SALEH Mohd Harrif | 70 |
| 15 | EBSEN John | 58 |