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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ANDRIOTTO Dario | 68 |
| 3 | SERPELLINI Marco | 75 |
| 5 | ELLI Alberto | 71 |
| 6 | HOLM SØRENSEN Brian | 77 |
| 7 | GONTCHENKOV Alexander | 74 |
| 8 | NARDELLO Daniele | 74 |
| 10 | MAZZOLENI Eddy | 67 |
| 16 | DONATI Massimo | 75 |
| 18 | FERRARI Diego | 74 |
| 19 | CENGHIALTA Bruno | 73 |
| 20 | BETTINI Paolo | 58 |
| 21 | PETITO Roberto | 78 |
| 27 | ZANINI Stefano | 80 |
| 28 | BESSY Frédéric | 65 |