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 + 46
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE ROSSI Lucas | 70 |
| 2 | MACHADO SILVA Gabriel | 63 |
| 10 | CULLY Ján Andrej | 73 |
| 15 | IVASHKIN Anton | 73 |
| 21 | MARECZKO Jakub | 67 |
| 25 | DE KEIJZER Gerd | 72.6 |
| 26 | CHOI Hiu Fung | 53 |
| 35 | VELTMAN Milan | 66 |