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 = -33.2 * weight + 3021
This means that on average for every extra kilogram weight a rider loses -33.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BREUKINK Erik | 70 |
| 2 | SØRENSEN Rolf | 70 |
| 3 | JASKUŁA Zenon | 76 |
| 6 | VANDERAERDEN Eric | 74 |
| 990 | JÄRMANN Rolf | 73 |
| 990 | ROMINGER Tony | 65 |
| 990 | FONDRIEST Maurizio | 70 |
| 990 | KELLY Sean | 77 |
| 990 | EARLEY Martin | 62 |
| 990 | GIANETTI Mauro | 62 |
| 990 | LELLI Massimiliano | 69 |
| 990 | VERSTREPEN Johan | 66 |
| 990 | SARONNI Giuseppe | 65 |
| 990 | SERGEANT Marc | 76 |