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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ENRICI Giuseppe | 64 |
| 5 | MARTINETTO Secondo | 84 |
| 10 | UGAGLIA Luigi | 61 |
| 11 | PRATESI Ottavio | 74 |
| 13 | RUFFONI Giuseppe | 74 |
| 14 | ROSSIGNOLI Giovanni | 71 |
| 20 | COMINETTI Alfredo | 67 |
| 22 | FERRARIO Arturo | 67 |