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 = 34.6 * weight - 1621
This means that on average for every extra kilogram weight a rider loses 34.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VASSEUR Alain | 67 |
| 990 | MONSERÉ Jean-Pierre | 66 |
| 990 | BRACKE Ferdinand | 79 |
| 990 | MORTENSEN Leif | 70 |
| 990 | DE VLAEMINCK Roger | 74 |
| 990 | JANSSEN Jan | 76 |
| 990 | JANSEN Harrie | 70 |
| 990 | VAN LOOY Rik | 73 |