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 = -0.5 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOSER Francesco | 79 |
| 3 | SCHUITEN Roy | 83 |
| 4 | DE WOLF Fons | 75 |
| 5 | MARCUSSEN Jørgen | 70 |
| 7 | SEGERSALL Alf | 65 |
| 8 | DE VLAEMINCK Roger | 74 |
| 10 | POLLENTIER Michel | 62 |
| 11 | BARONCHELLI Gianbattista | 72 |
| 12 | JOHANSSON Bernt | 71 |
| 13 | SARONNI Giuseppe | 65 |
| 20 | DE WILDE Etienne | 70 |