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 + 60
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINDSGAUL Jacob | 67 |
| 2 | RAJOVIĆ Dušan | 74 |
| 3 | MALUCELLI Matteo | 68 |
| 4 | GIBSON Matthew | 76 |
| 5 | FEDELI Alessandro | 65 |
| 6 | PERRY Benjamin | 71 |
| 7 | MARECZKO Jakub | 67 |
| 11 | WIRTGEN Luc | 63 |
| 12 | TAGLIANI Filippo | 70 |
| 13 | LAUK Karl Patrick | 69 |
| 14 | MULUBRHAN Henok | 60 |
| 15 | TEGGART Matthew | 63 |
| 17 | LONARDI Giovanni | 70 |
| 18 | NIETO Edgar | 58 |
| 19 | MURPHY Kyle | 67 |
| 21 | KRETSCHY Moritz | 63 |