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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE MAAR Marc | 70 |
| 2 | GARCIA Marcos | 55 |
| 3 | PRADES Benjamín | 56 |
| 4 | FENG Chun Kai | 69 |
| 5 | HATANAKA Yusuke | 72 |
| 6 | GUARDIOLA Salvador | 65 |
| 7 | LEBAS Thomas | 65 |
| 8 | SUZUKI Yuzuru | 57 |
| 9 | GROVES Kaden | 76 |