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 = 1.2 * weight - 67
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLANCKAERT Eddy | 69 |
| 4 | LEMOND Greg | 67 |
| 5 | VAN DER POEL Adrie | 70 |
| 9 | DE WILDE Etienne | 70 |
| 11 | KELLY Sean | 77 |
| 29 | WAMPERS Jean-Marie | 82 |
| 32 | SERGEANT Marc | 76 |
| 36 | KUIPER Hennie | 69 |
| 43 | SOLLEVELD Gerrit | 93 |
| 45 | RAAS Jan | 72 |