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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAMITIER Sergio | 63 |
| 2 | ZARDINI Edoardo | 62 |
| 3 | DIMA Emil | 73 |
| 4 | MAJKA Rafał | 62 |
| 5 | GESBERT Élie | 63 |
| 6 | REYES Aldemar | 55 |
| 7 | KRIZEK Matthias | 74 |
| 8 | QUINTERO Carlos | 63 |
| 9 | SIVAKOV Pavel | 70 |
| 10 | ZEITS Andrey | 73 |
| 11 | POLJAŃSKI Paweł | 63 |
| 12 | NIBALI Antonio | 65 |
| 13 | NIBALI Vincenzo | 65 |
| 14 | VUILLERMOZ Alexis | 60 |
| 15 | GAVAZZI Francesco | 65 |
| 16 | ROCCHETTI Filippo | 72 |
| 18 | GAMPER Patrick | 80 |