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 + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROMINGER Tony | 65 |
| 3 | ARGENTIN Moreno | 66 |
| 4 | VANDERAERDEN Eric | 74 |
| 5 | CAROLI Daniele | 77 |
| 15 | BUGNO Gianni | 68 |
| 17 | VAN DER POEL Adrie | 70 |
| 19 | MADIOT Marc | 68 |
| 29 | LEMOND Greg | 67 |