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 - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 3 | ÖRKEN Ahmet | 69 |
| 5 | SHPILEVSKY Boris | 78 |
| 6 | PALINI Andrea | 67 |
| 7 | SISR František | 72 |
| 8 | WANG Meiyin | 70 |
| 9 | HADDI Soufiane | 63 |
| 12 | VERSCHOOR Martijn | 74.5 |
| 17 | VAITKUS Tomas | 75 |