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 = -2.6 * weight + 718
This means that on average for every extra kilogram weight a rider loses -2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DUCLOS-LASSALLE Gilbert | 73 |
| 5 | KUIPER Hennie | 69 |
| 6 | KELLY Sean | 77 |
| 7 | POLLENTIER Michel | 62 |
| 10 | ROCHE Stephen | 74 |
| 12 | VAN DER POEL Adrie | 70 |
| 990 | SOLLEVELD Gerrit | 93 |
| 990 | BITTINGER René | 69 |
| 990 | DELGADO Pedro | 64 |
| 990 | THALER Klaus-Peter | 60 |
| 990 | DE WILDE Etienne | 70 |
| 990 | NILSSON Sven-Åke | 63 |
| 990 | DEMOL Dirk | 72 |