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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE LA FUENTE David | 67 |
| 3 | KANGERT Tanel | 65 |
| 4 | PETROV Evgeni | 70 |
| 5 | ASTARLOZA Mikel | 72 |
| 6 | BRAVO Garikoitz | 61 |
| 7 | COSTA Rui | 69 |
| 8 | OROZ Juan José | 71 |
| 10 | NERZ Dominik | 67 |
| 11 | HERRADA José | 65 |
| 12 | CLEMENT Stef | 66 |
| 13 | NIEMIEC Przemysław | 62 |
| 14 | POSSONI Morris | 56 |