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 + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAIS Mattia | 66 |
| 2 | PELLAUD Simon | 70 |
| 3 | LÓPEZ Juan Pedro | 60 |
| 4 | GANNA Filippo | 83 |
| 5 | DE MARCHI Alessandro | 65 |
| 6 | GAMPER Patrick | 80 |
| 7 | PELLIZZARI Giulio | 66 |
| 8 | COVILI Luca | 58 |
| 9 | FOSS Tobias | 74 |
| 10 | POELS Wout | 66 |
| 12 | PÖSTLBERGER Lukas | 70 |