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 = -38.6 * weight + 2918
This means that on average for every extra kilogram weight a rider loses -38.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BORTOLAMI Gianluca | 73 |
3 | TETERIOUK Andrei | 72 |
4 | TAFI Andrea | 73 |
5 | RODRIGUES Orlando Sergio | 68 |
7 | PETITO Roberto | 78 |
8 | DOMÍNGUEZ Juan Carlos | 64 |
10 | GARMENDIA Aitor | 68 |
990 | CUESTA Iñigo | 62 |
990 | TONKOV Pavel | 70 |