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 = -0.4 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DEJAEGER Henri | 74 |
| 5 | BUDTS Louis | 78 |
| 6 | DEJONGHE Albert | 81 |
| 7 | MOTTIAT Louis | 65 |
| 8 | DEVOS Léon | 72 |
| 13 | VAN DAELE Joseph | 68 |
| 14 | HUYVAERT Jules | 72 |
| 15 | DEPAUW Achiel | 74 |
| 17 | VAN BREE Charles | 71 |