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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LANDA Mikel | 61 |
| 2 | FIRSANOV Sergey | 58 |
| 3 | FUGLSANG Jakob | 67 |
| 4 | NIBALI Vincenzo | 65 |
| 5 | MOLINA Antonio | 57 |
| 6 | BARDET Romain | 65 |
| 7 | FOLIFOROV Alexander | 61 |
| 8 | NAZARET Magno | 65 |
| 9 | SCHÖNBERGER Sebastian | 64 |
| 10 | CUNEGO Damiano | 58 |
| 11 | ZAMPARELLA Marco | 67 |
| 12 | BENEDETTI Cesare | 63 |
| 13 | MENDES José | 64 |
| 14 | KANGERT Tanel | 65 |
| 15 | POZZOVIVO Domenico | 53 |
| 16 | TIZZA Marco | 58 |