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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN AVERMAET Greg | 74 |
| 2 | DEVOLDER Stijn | 72 |
| 3 | ROELANDTS Jürgen | 78 |
| 4 | IVANOV Sergei | 73 |
| 5 | DAVIS Allan | 73 |
| 6 | FERRARI Roberto | 73 |
| 7 | HASELBACHER René | 69 |
| 8 | STEEGMANS Gert | 82 |
| 9 | DEHAES Kenny | 73 |
| 10 | VAN DIJK Stefan | 74 |