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 = 0.7 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | DROGAN Bernd | 69 |
| 12 | MATĚJKA Libor | 56 |
| 15 | IMBODEN Heinz | 70 |
| 17 | DERNIES Michel | 75 |
| 22 | GAYANT Martial | 69 |
| 54 | MCCORMACK Alan | 57 |
| 78 | YATES Sean | 74 |
| 101 | ALVARADO Carlos Martin | 70 |