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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIDGORNYY Ruslan | 72 |
| 3 | FERRARA Raffaele | 60 |
| 4 | PAOLINI Luca | 66 |
| 5 | HAMBURGER Bo | 58 |
| 7 | GIUNTI Massimo | 62 |
| 8 | NOCENTINI Rinaldo | 60 |
| 10 | BERTOLINI Alessandro | 63 |
| 12 | DI LUCA Danilo | 61 |
| 16 | GIORDANI Leonardo | 68 |
| 18 | RUBIANO Miguel Angel | 58 |