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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PERRAIN Julien | 75 |
| 2 | BIDOT Jean | 65 |
| 3 | GRÉAU Eugène | 84 |
| 4 | BOISSELLE Léopold | 65 |
| 5 | NEUHARD Ernest | 67 |
| 7 | VAN BRUAENE Adolf | 77 |
| 8 | VAN BRUAENE Armand | 70 |
| 10 | BAUD Félix | 67 |
| 15 | BERNARD René | 69 |
| 16 | BOUCHER Raoul | 67 |
| 18 | BRUGÈRE Robert | 74 |
| 19 | DELBART Paul | 65 |