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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AGNOLUTTO Christophe | 69 |
| 2 | DURAND Jacky | 76 |
| 3 | JAN Xavier | 62 |
| 4 | BESSY Frédéric | 65 |
| 6 | NAZON Damien | 68 |
| 7 | BARTHE Stéphane | 65 |
| 8 | VASSEUR Cédric | 70 |
| 9 | RINERO Christophe | 65 |
| 10 | LEFEVRE David | 66 |