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 = 36.6 * weight - 1931
This means that on average for every extra kilogram weight a rider loses 36.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JALABERT Laurent | 66 |
| 2 | BAFFI Adriano | 70 |
| 3 | EDO Ángel | 64 |
| 4 | PICCOLI Mariano | 64 |
| 5 | VAN PETEGEM Peter | 70 |
| 990 | BREUKINK Erik | 70 |
| 990 | INDURÁIN Miguel | 76 |
| 990 | ROMINGER Tony | 65 |
| 990 | HEULOT Stéphane | 69 |
| 990 | ESCARTÍN Fernando | 61 |
| 990 | RUÉ Gérard | 74 |
| 990 | TAFI Andrea | 73 |