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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | MARINI Nicolas | 72 |
| 5 | BOGDANOVIČS Māris | 68 |
| 7 | DUQUE Leonardo Fabio | 59 |
| 8 | GRAZIATO Massimo | 73 |
| 9 | WANG Meiyin | 70 |
| 10 | GROSU Eduard-Michael | 68 |
| 12 | METLUSHENKO Yuri | 82 |