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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OLANO Abraham | 70 |
| 2 | BRUYNEEL Johan | 71 |
| 3 | MAURI Melchor | 68 |
| 4 | UGRUMOV Piotr | 58 |
| 5 | JALABERT Laurent | 66 |
| 6 | EKIMOV Viatcheslav | 69 |
| 8 | CASERO Ángel Luis | 72 |
| 9 | BRIGNOLI Ermanno | 78 |
| 10 | ANDERSSON Michael | 71 |
| 11 | DOMÍNGUEZ Juan Carlos | 64 |
| 12 | VIRENQUE Richard | 65 |
| 16 | BARTOLI Michele | 65 |