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 = 1.2 * weight - 71
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARGENTIN Moreno | 66 |
| 2 | SARONNI Giuseppe | 65 |
| 5 | MINETTI Alberto | 69 |
| 8 | BARONCHELLI Gianbattista | 72 |
| 10 | VANDI Alfio | 64 |
| 12 | PRIM Tommy | 76 |
| 17 | MARTINELLI Giuseppe | 74 |
| 19 | ALGERI Vittorio | 68 |
| 33 | WAMPERS Jean-Marie | 82 |
| 47 | MARCUSSEN Jørgen | 70 |