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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUÉ Gérard | 74 |
| 2 | INDURÁIN Miguel | 76 |
| 3 | DE WILDE Etienne | 70 |
| 6 | SØRENSEN Rolf | 70 |
| 7 | VAN DER POEL Adrie | 70 |
| 8 | BAFFI Adriano | 70 |
| 11 | PLANCKAERT Eddy | 69 |
| 14 | ELLIOTT Malcolm | 76 |
| 20 | PEETERS Wilfried | 76 |
| 21 | ELLI Alberto | 71 |
| 22 | MURGUIALDAY Javier | 58 |
| 26 | HOLM SØRENSEN Brian | 77 |