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 = 0.2 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MARTINELLI Giuseppe | 74 |
| 5 | PAGNIN Roberto | 74 |
| 6 | GAVAZZI Pierino | 67 |
| 10 | VAN VLIET Leo | 65 |
| 15 | VAN DER POEL Adrie | 70 |
| 25 | GLAUS Gilbert | 67 |
| 33 | HOSTE Frank | 76 |
| 42 | IMBODEN Heinz | 70 |
| 48 | DEMIERRE Serge | 70 |