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 = -0.4 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOMÍNGUEZ Juan Carlos | 64 |
| 2 | ZÜLLE Alex | 72 |
| 3 | VOGELS Henk | 75 |
| 4 | EKIMOV Viatcheslav | 69 |
| 5 | GAMITO Vitor | 66 |
| 6 | BRUYNEEL Johan | 71 |
| 7 | CASAGRANDE Francesco | 64 |
| 8 | BOOGERD Michael | 62 |
| 9 | MAURI Melchor | 68 |
| 10 | HERAS Roberto | 59 |
| 11 | PANTANI Marco | 58 |