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 = 23.7 * weight - 784
This means that on average for every extra kilogram weight a rider loses 23.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ABRAHAMIAN Stéphane | 57 |
| 990 | JANSSEN Jan | 76 |
| 990 | VAN IMPE Lucien | 59 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | DE VLAEMINCK Roger | 74 |
| 990 | HARRISON Derek | 73 |
| 990 | PARENTEAU Jean-Pierre | 68 |
| 990 | BRACKE Ferdinand | 79 |
| 990 | BILSLAND William | 73 |
| 990 | GLEMSER Peter | 82 |
| 990 | KREKELS Jan | 73 |
| 990 | STEEVENS Harry | 73 |