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 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAFI Andrea | 73 |
| 2 | BERTOLINI Alessandro | 63 |
| 3 | REBELLIN Davide | 63 |
| 6 | MAZZANTI Luca | 64 |
| 7 | MAGNIEN Emmanuel | 68 |
| 8 | CASAGRANDE Francesco | 64 |
| 11 | JAN Xavier | 62 |
| 13 | VALOTI Paolo | 64 |
| 15 | BOOGERD Michael | 62 |
| 18 | BORTOLAMI Gianluca | 73 |
| 19 | UGRUMOV Piotr | 58 |
| 20 | CASAGRANDE Filippo | 63 |
| 21 | SCIANDRI Maximilian | 75 |
| 23 | BARTOLI Michele | 65 |
| 27 | BETTINI Paolo | 58 |
| 29 | MAGNUSSON Glenn | 70 |