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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PELLIZOTTI Franco | 64 |
| 2 | DI LUCA Danilo | 61 |
| 3 | MOSER Moreno | 64 |
| 4 | CARUSO Giampaolo | 60 |
| 5 | NIBALI Vincenzo | 65 |
| 6 | SCARPONI Michele | 62 |
| 7 | PONZI Simone | 63 |
| 8 | RATTO Daniele | 74 |
| 9 | GAVAZZI Francesco | 65 |
| 11 | SANTAROMITA Ivan | 58 |
| 12 | FAILLI Francesco | 65 |
| 13 | MORI Manuele | 62 |
| 14 | POZZOVIVO Domenico | 53 |
| 15 | REBELLIN Davide | 63 |
| 16 | BERTAGNOLLI Leonardo | 63 |