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 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MADIOT Marc | 68 |
| 3 | KELLY Sean | 77 |
| 4 | LEMOND Greg | 67 |
| 6 | PLANCKAERT Eddy | 69 |
| 8 | KUIPER Hennie | 69 |
| 9 | VAN DER POEL Adrie | 70 |
| 12 | MOSER Francesco | 79 |
| 13 | VANDERAERDEN Eric | 74 |
| 16 | DE WILDE Etienne | 70 |
| 23 | SERGEANT Marc | 76 |
| 24 | CAROLI Daniele | 77 |