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 + 28
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | BILSLAND William | 73 |
| 10 | MORTENSEN Leif | 70 |
| 25 | ROSIERS Roger | 78 |
| 25 | VASSEUR Alain | 67 |
| 25 | POULIDOR Raymond | 71 |
| 25 | GODEFROOT Walter | 73 |
| 25 | VAN IMPE Lucien | 59 |
| 25 | SCHUTZ Edy | 72 |
| 25 | KARSTENS Gerben | 74 |
| 25 | KREKELS Jan | 73 |