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 = -1.6 * weight + 152
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOSTE Frank | 76 |
| 2 | LEMOND Greg | 67 |
| 7 | GAVAZZI Pierino | 67 |
| 11 | SERGEANT Marc | 76 |
| 13 | DEMIERRE Serge | 70 |
| 14 | KELLY Sean | 77 |
| 16 | RAAS Jan | 72 |
| 27 | WINNEN Peter | 60 |
| 28 | DERNIES Michel | 75 |
| 38 | DE ROOIJ Theo | 69 |
| 39 | GAYANT Martial | 69 |
| 101 | VAN DEN HOEK Aad | 77 |
| 115 | GLAUS Gilbert | 67 |
| 125 | VAN VLIET Leo | 65 |