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 - 36
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LILHOLT Søren | 72 |
| 3 | ARNTZ Marcel | 70 |
| 4 | DE WILDE Etienne | 70 |
| 5 | VAN DER POEL Adrie | 70 |
| 6 | EARLEY Martin | 62 |
| 7 | VANDERAERDEN Eric | 74 |
| 14 | BÖLTS Udo | 73 |
| 16 | KELLY Sean | 77 |