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 + 49
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IVANOV Ruslan | 71 |
| 3 | BORTOLAMI Gianluca | 73 |
| 4 | PINOTTI Marco | 67 |
| 5 | LUNGHI Denis | 61 |
| 6 | FORCONI Riccardo | 71 |
| 7 | DUMA Vladimir | 64 |
| 8 | GIUNTI Massimo | 62 |
| 9 | CASAGRANDE Filippo | 63 |
| 11 | SIMEONI Filippo | 68 |
| 15 | MAGNANI Marco | 64 |
| 16 | ROMANIK Radosław | 62 |