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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHPILEVSKY Boris | 78 |
| 2 | CIONI Dario David | 72 |
| 3 | VISCONTI Giovanni | 63 |
| 4 | NIBALI Vincenzo | 65 |
| 5 | GUSEV Vladimir | 67 |
| 6 | KVACHUK Oleksandr | 68 |
| 7 | BETTINI Paolo | 58 |
| 8 | BALLAN Alessandro | 73 |
| 9 | GRIVKO Andrey | 70 |
| 10 | SABATINI Fabio | 74 |
| 13 | POZZATO Filippo | 73 |
| 16 | SCARSELLI Leonardo | 67 |
| 17 | GRABOVSKYY Dmytro | 69 |
| 18 | RIGHI Daniele | 70 |
| 19 | BERTOLINI Alessandro | 63 |
| 23 | COMMESSO Salvatore | 66 |
| 24 | CAPECCHI Eros | 65 |