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 = 6.9 * weight + 368
This means that on average for every extra kilogram weight a rider loses 6.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZOETEMELK Joop | 68 |
| 16 | FIGNON Laurent | 67 |
| 990 | DE WILDE Etienne | 70 |
| 990 | ROCHE Stephen | 74 |
| 990 | SOLLEVELD Gerrit | 93 |
| 990 | CHEVALLIER Philippe | 69 |
| 990 | MADIOT Marc | 68 |
| 990 | VAN VLIET Leo | 65 |
| 990 | VAN DER POEL Adrie | 70 |
| 990 | KUIPER Hennie | 69 |
| 990 | DELGADO Pedro | 64 |
| 990 | DIDIER Lucien | 67 |
| 990 | JOURDAN Christian | 64 |
| 990 | VILAMAJO Jaime | 70 |