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 + 72
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 4 | ZOETEMELK Joop | 68 |
| 6 | BITTINGER René | 69 |
| 8 | VAN DER POEL Adrie | 70 |
| 14 | VANDERAERDEN Eric | 74 |
| 18 | SERGEANT Marc | 76 |
| 36 | DE WILDE Etienne | 70 |
| 37 | JOURDAN Christian | 64 |
| 38 | KUIPER Hennie | 69 |
| 43 | FOWLER Brian | 71 |
| 48 | DUCLOS-LASSALLE Gilbert | 73 |
| 49 | BOURREAU Bernard | 63 |
| 75 | YATES Sean | 74 |
| 85 | MILLER Graeme | 72 |