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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PIEMONTESI Domenico | 80 |
| 3 | DI PACO Raffaele | 83 |
| 4 | ROVIDA Carlo | 69 |
| 5 | CAMUSSO Francesco | 66 |
| 6 | BATTESINI Fabio | 80 |
| 7 | GUERRA Learco | 77 |
| 8 | MARA Michele | 68 |
| 9 | MORELLI Ambrogio Enrico | 78 |
| 10 | PESENTI Antonio | 60 |