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 + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAVIRIA Fernando | 71 |
| 2 | ACKERMANN Pascal | 78 |
| 3 | ČERNÝ Josef | 75 |
| 4 | MULLEN Ryan | 77 |
| 5 | TRENTIN Matteo | 74 |
| 6 | HONORÉ Mikkel Frølich | 68 |
| 7 | BAUHAUS Phil | 75 |
| 8 | MOSCHETTI Matteo | 73 |
| 9 | KANTER Max | 68 |
| 10 | MARTINELLI Davide | 71 |
| 11 | MARECZKO Jakub | 67 |
| 12 | MINALI Riccardo | 74 |
| 13 | BALLERINI Davide | 71 |