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 = 13.5 * weight - 288
This means that on average for every extra kilogram weight a rider loses 13.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Sean | 74 |
| 2 | VANDERAERDEN Eric | 74 |
| 3 | HINAULT Bernard | 62 |
| 15 | ZOETEMELK Joop | 68 |
| 990 | KLUGE Mike | 77 |
| 990 | PLANCKAERT Eddy | 69 |
| 990 | DIDIER Lucien | 67 |
| 990 | GAYANT Martial | 69 |
| 990 | SOLLEVELD Gerrit | 93 |
| 990 | VAN VLIET Leo | 65 |
| 990 | BITTINGER René | 69 |
| 990 | DE WILDE Etienne | 70 |
| 990 | WAMPERS Jean-Marie | 82 |