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 = 0.7 * weight - 40
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAX Sjoerd | 78 |
| 2 | EENKHOORN Pascal | 72 |
| 3 | WOUTERS Sieben | 67 |
| 5 | MENGOULAS Alex | 66 |
| 6 | VELTMAN Milan | 66 |
| 7 | DE VRIES Hartthijs | 66 |
| 8 | JAKOBSEN Fabio | 78 |
| 9 | MAAS Jan | 70 |
| 13 | VAN DEN BERG Julius | 78 |
| 18 | WELTEN Bram | 81 |
| 34 | TALEN Jordi | 76 |