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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KADLEC Milan | 70 |
| 2 | MARZOLI Ruggero | 61 |
| 4 | RIGHI Daniele | 70 |
| 6 | PETITO Roberto | 78 |
| 7 | PUGACI Igor | 67 |
| 10 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 12 | PALUMBO Giuseppe | 61 |
| 15 | GIORDANI Leonardo | 68 |