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 = -1.9 * weight + 167
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KARSTENS Gerben | 74 |
| 5 | ELORRIAGA Javier Francisco | 85 |
| 7 | SWERTS Roger | 75 |
| 8 | MERCKX Eddy | 74 |
| 12 | SCHLECK Johny | 72 |
| 23 | TAMAMES Agustín | 66 |
| 25 | DÍAZ Ventura | 72 |
| 28 | ROSIERS Roger | 78 |
| 41 | BRACKE Ferdinand | 79 |
| 43 | VIEJO José Luis | 64 |
| 63 | PARENTEAU Jean-Pierre | 68 |
| 64 | HUELAMO Jaime | 61 |