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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ELLIOTT Malcolm | 76 |
| 3 | EKIMOV Viatcheslav | 69 |
| 6 | CHIAPPUCCI Claudio | 67 |
| 7 | HEPPNER Jens | 69 |
| 9 | DELGADO Pedro | 64 |
| 10 | DERNIES Michel | 75 |
| 13 | STEPHENS Neil | 65 |
| 14 | ROCHE Stephen | 74 |