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 = -1.2 * weight + 104
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VAN DAELE Leon | 78 |
| 4 | IMPANIS Raymond | 69 |
| 7 | VAN STEENBERGEN Rik | 83 |
| 9 | VAN LOOY Rik | 73 |
| 10 | JANSSENS Marcel | 68 |
| 13 | DE BRUYNE Alfred | 68 |
| 18 | DERYCKE Germain | 70 |
| 27 | FORÉ Noël | 73 |
| 39 | CERAMI Pino | 72 |
| 61 | ERNZER Marcel | 69 |