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 = 0.1 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARZELLI Stefano | 62 |
| 2 | EVANS Cadel | 64 |
| 3 | SELLA Emanuele | 54 |
| 4 | NIBALI Vincenzo | 65 |
| 5 | AXELSSON Niklas | 73 |
| 6 | GIUNTI Massimo | 62 |
| 7 | SERPA José Rodolfo | 64 |
| 8 | FRÖHLINGER Johannes | 62 |
| 9 | MAZZANTI Luca | 64 |
| 12 | NOÈ Andrea | 65 |
| 13 | MORABITO Steve | 74 |
| 14 | SZMYD Sylwester | 60 |
| 15 | SANTAROMITA Ivan | 58 |