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 = 0.2 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARGENTIN Moreno | 66 |
| 2 | VAN DER POEL Adrie | 70 |
| 6 | SERGEANT Marc | 76 |
| 8 | PAGNIN Roberto | 74 |
| 10 | IMBODEN Heinz | 70 |
| 12 | KELLY Sean | 77 |
| 14 | LEMOND Greg | 67 |
| 17 | ZOETEMELK Joop | 68 |
| 19 | NEVENS Jan | 58 |
| 22 | DE WILDE Etienne | 70 |
| 23 | SCHEPERS Eddy | 60 |
| 24 | ROMINGER Tony | 65 |
| 26 | VANDI Alfio | 64 |
| 27 | DE ROOIJ Theo | 69 |
| 43 | HOLM SØRENSEN Brian | 77 |
| 44 | DERNIES Michel | 75 |