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 + 20
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 | FUGLSANG Jakob | 67 |
| 3 | MOLINA Antonio | 57 |
| 4 | FIRSANOV Sergey | 58 |
| 5 | NAZARET Magno | 65 |
| 6 | SCHÖNBERGER Sebastian | 64 |
| 7 | ZAMPARELLA Marco | 67 |
| 8 | BARDET Romain | 65 |
| 9 | BENEDETTI Cesare | 63 |
| 10 | MENDES José | 64 |
| 11 | KANGERT Tanel | 65 |
| 12 | CUNEGO Damiano | 58 |
| 13 | TIZZA Marco | 58 |
| 14 | BERLATO Giacomo | 60 |