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 = -0.6 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BRUNERO Giovanni | 66 |
| 6 | ENRICI Giuseppe | 64 |
| 7 | GORDINI Michele | 89 |
| 8 | PETIVA Emilio | 71 |
| 10 | GREMO Angelo | 74 |
| 13 | MARTINETTO Secondo | 84 |
| 16 | PRATESI Ottavio | 74 |
| 18 | ROSSIGNOLI Giovanni | 71 |
| 19 | FASOLI Pietro | 70 |
| 25 | LUCOTTI Luigi Natale | 67 |
| 29 | SALA Enrico | 62 |
| 30 | RUFFONI Giuseppe | 74 |
| 33 | FERRARIO Arturo | 67 |
| 35 | CANEPARI Clemente | 62 |