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 = -19.4 * weight + 2235
This means that on average for every extra kilogram weight a rider loses -19.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
4 | TAFI Andrea | 73 |
990 | JALABERT Laurent | 66 |
990 | BAFFI Adriano | 70 |
990 | BREUKINK Erik | 70 |
990 | INDURÁIN Miguel | 76 |
990 | EDO Ángel | 64 |
990 | ROMINGER Tony | 65 |
990 | PICCOLI Mariano | 64 |
990 | VAN PETEGEM Peter | 70 |
990 | HEULOT Stéphane | 69 |
990 | ESCARTÍN Fernando | 61 |
990 | RUÉ Gérard | 74 |