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 + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SARTORI Mirco | 68 |
| 5 | ZAMBELLI Samuele | 70 |
| 6 | SEFA Ylber | 72 |
| 9 | VAN EMPEL Etienne | 64 |
| 10 | ZHUPA Eugert | 78 |
| 12 | BARAĆ Antonio | 73 |
| 13 | BERTONE Filippo | 64 |
| 14 | FORTUNATO Lorenzo | 57 |
| 16 | SCHÖNBERGER Sebastian | 64 |
| 17 | BALDO Mattia | 64 |
| 18 | FERRARI Andrea | 64 |
| 19 | BEVILACQUA Simone | 75 |
| 22 | RINALDI Nicholas | 65 |
| 24 | ZANDOMENEGHI Simone | 61 |
| 35 | VAN NUFFELEN Glen | 64 |
| 36 | VELIA Olsian | 74 |