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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZANINI Stefano | 80 |
| 2 | MAZZANTI Luca | 64 |
| 3 | BETTINI Paolo | 58 |
| 4 | ELLI Alberto | 71 |
| 5 | HAMBURGER Bo | 58 |
| 7 | VALOTI Paolo | 64 |
| 8 | ŠTANGELJ Gorazd | 70 |
| 10 | AXELSSON Niklas | 73 |
| 14 | BALLERINI Franco | 78 |
| 15 | DONATI Massimo | 75 |
| 18 | PEETERS Wilfried | 76 |
| 20 | FREIRE Óscar | 63 |
| 30 | SIMEONI Filippo | 68 |
| 37 | MAGNUSSON Glenn | 70 |