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 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAVAZZI Mattia | 70 |
| 2 | FIRSANOV Sergey | 58 |
| 3 | BELLETTI Manuel | 72 |
| 4 | MARECZKO Jakub | 67 |
| 5 | PELUCCHI Matteo | 74 |
| 6 | FINETTO Mauro | 62 |
| 7 | MOSCON Gianni | 71 |
| 8 | TAMOURIDIS Ioannis | 70 |
| 9 | SANTORO Antonio | 53 |
| 10 | CHICCHI Francesco | 76 |
| 11 | FEDI Andrea | 70 |
| 12 | CICCONE Giulio | 58 |
| 13 | FORTIN Filippo | 78 |
| 15 | COLLI Daniele | 73 |
| 18 | HENAO Sebastián | 57 |