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 = 0.6 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOOGERD Michael | 62 |
| 2 | VINOKOUROV Alexandre | 68 |
| 3 | FRIGO Dario | 66 |
| 4 | FORCONI Riccardo | 71 |
| 6 | DEN BAKKER Maarten | 71 |
| 7 | ORTENZI Gian Mario | 78 |
| 10 | VAN PETEGEM Peter | 70 |
| 11 | MUSEEUW Johan | 71 |
| 12 | TCHMIL Andrei | 75 |