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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELAPLACE Anthony | 65 |
| 2 | VAN HOECKE Gijs | 78 |
| 3 | PREIDLER Georg | 68 |
| 5 | MCNALLY Mark | 72 |
| 6 | LINDEMAN Bert-Jan | 69 |
| 7 | FONSECA Armindo | 56 |
| 8 | VAN ASBROECK Tom | 72 |
| 10 | VAUBOURZEIX Thomas | 70 |