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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIBALI Vincenzo | 65 |
| 2 | RUSS Matthias | 62 |
| 3 | SALERNO Cristiano | 64 |
| 4 | RICCÒ Riccardo | 57 |
| 6 | DYUDYA Volodymyr | 80 |
| 7 | VISCONTI Giovanni | 63 |
| 8 | JANIACZYK Błażej | 68 |
| 9 | SANTAROMITA Ivan | 58 |
| 10 | RUBIANO Miguel Angel | 58 |
| 11 | DEIGNAN Philip | 65 |
| 12 | SCOGNAMIGLIO Carlo | 67 |
| 13 | MORABITO Steve | 74 |
| 14 | KLOSTERGAARD Kasper | 69 |