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 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WILDE Etienne | 70 |
| 2 | VAN DER POEL Adrie | 70 |
| 3 | BAFFI Adriano | 70 |
| 4 | CHIAPPUCCI Claudio | 67 |
| 5 | JALABERT Laurent | 66 |
| 7 | MUSEEUW Johan | 71 |
| 10 | SCIANDRI Maximilian | 75 |
| 11 | LEMOND Greg | 67 |
| 14 | MOREAU Francis | 77 |
| 18 | WELTZ Johnny | 65 |
| 19 | BOMANS Carlo | 74 |
| 20 | ELLIOTT Malcolm | 76 |
| 26 | INDURÁIN Miguel | 76 |
| 29 | BRUYNEEL Johan | 71 |