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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARCATO Marco | 67 |
| 2 | BILBAO Pello | 60 |
| 3 | BOUET Maxime | 67 |
| 4 | PICHON Laurent | 69 |
| 5 | LEVARLET Guillaume | 67 |
| 6 | CHARTEAU Anthony | 67 |
| 7 | QUÉMÉNEUR Perrig | 67 |
| 8 | VERBIST Evert | 73 |
| 9 | ISASI Iñaki | 70 |
| 10 | HONIG Reinier | 61 |
| 11 | PINOT Thibaut | 63 |
| 12 | BOUYER Franck | 65 |
| 13 | BERTOGLIATI Rubens | 73 |
| 14 | DUMOULIN Samuel | 57 |