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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUCLOS-LASSALLE Gilbert | 73 |
| 2 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 3 | PICCOLI Mariano | 64 |
| 5 | ALDAG Rolf | 75 |
| 6 | JALABERT Laurent | 66 |
| 7 | FRATTINI Francesco | 60 |
| 8 | PIZIKS Arvis | 70 |
| 9 | TETERIOUK Andrei | 72 |