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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOLČER Jure | 66.5 |
| 2 | RATTI Eddy | 64 |
| 3 | CHEULA Giampaolo | 62 |
| 4 | KONYCHEV Dmitri | 77 |
| 5 | PIETROPOLLI Daniele | 61 |
| 7 | KUSCHYNSKI Aleksandr | 65 |
| 10 | SGAMBELLURI Roberto | 63 |
| 11 | SANTAMBROGIO Mauro | 63 |
| 15 | LONGO BORGHINI Paolo | 76 |
| 17 | LAVERDE Luis Felipe | 63 |
| 20 | SCHEIRLINCKX Bert | 67 |
| 21 | RIŠKA Martin | 73 |
| 23 | SERINA Corrado | 73 |