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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEIJERS Jeroen | 68 |
| 4 | NUR HASAN Sandy | 65 |
| 5 | CAHYADI Aiman | 52 |
| 6 | MORALES Jan Paul Montealegre | 59 |
| 8 | YOKOTSUKA Kohei | 70 |
| 10 | MISBAH Muhsin Al Redha | 56 |
| 12 | COYLE Jesse | 74 |
| 16 | FELIPE Marcelo | 58 |
| 17 | CARIÑO Daniel Ven | 56 |
| 18 | UCHIMA Kohei | 63 |