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 + 118
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JALABERT Laurent | 66 |
| 5 | KOERTS Jans | 78 |
| 6 | VAN PETEGEM Peter | 70 |
| 7 | OLANO Abraham | 70 |
| 8 | BAFFI Adriano | 70 |
| 10 | LLANERAS Juan | 65 |
| 12 | KELLY Sean | 77 |
| 33 | CORDES Tom | 70 |
| 67 | INDURÁIN Miguel | 76 |
| 80 | NEVENS Jan | 58 |
| 82 | BAGUET Serge | 67 |
| 83 | ROCHE Stephen | 74 |