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 = -0.9 * weight + 77
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 2 | DE WOLF Fons | 75 |
| 9 | PRIM Tommy | 76 |
| 12 | CAROLI Daniele | 77 |
| 14 | VANDI Alfio | 64 |
| 19 | SARONNI Giuseppe | 65 |
| 21 | NILSSON Sven-Åke | 63 |
| 27 | BARONCHELLI Gianbattista | 72 |