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 = 0.5 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HAMBURGER Bo | 58 |
| 3 | BALIANI Fortunato | 66 |
| 4 | SCARPONI Michele | 62 |
| 6 | MASCIARELLI Simone | 63 |
| 7 | MARZOLI Ruggero | 61 |
| 8 | GIUNTI Massimo | 62 |
| 9 | MAZZANTI Luca | 64 |
| 10 | SCARSELLI Leonardo | 67 |
| 11 | NURITDINOV Rafael | 68 |
| 14 | POPOVYCH Yaroslav | 64 |
| 15 | HINCAPIE George | 83 |
| 19 | TETERIOUK Andrei | 72 |