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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 4 | SCHUITEN Roy | 83 |
| 8 | POLLENTIER Michel | 62 |
| 9 | TAMAMES Agustín | 66 |
| 10 | RAAS Jan | 72 |
| 11 | ROSIERS Roger | 78 |
| 12 | VIEJO José Luis | 64 |
| 15 | LLOYD Dave | 76 |
| 25 | AJA Gonzalo | 66 |
| 28 | DEMEYER Marc | 85 |
| 30 | BRACKE Ferdinand | 79 |