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 = -1.9 * weight + 775
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDERAERDEN Eric | 74 |
| 5 | BOURREAU Bernard | 63 |
| 7 | DE WILDE Etienne | 70 |
| 8 | VAN DER POEL Adrie | 70 |
| 9 | KELLY Sean | 77 |
| 990 | MILLER Graeme | 72 |
| 990 | FOWLER Brian | 71 |
| 990 | KUIPER Hennie | 69 |
| 990 | BITTINGER René | 69 |
| 990 | SERGEANT Marc | 76 |
| 990 | JOURDAN Christian | 64 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | DUCLOS-LASSALLE Gilbert | 73 |
| 990 | YATES Sean | 74 |