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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUSCHYNSKI Aleksandr | 65 |
| 2 | RICCÒ Riccardo | 57 |
| 4 | BETTINI Paolo | 58 |
| 5 | ŠTANGELJ Gorazd | 70 |
| 6 | NIBALI Vincenzo | 65 |
| 7 | KAIRELIS Dainius | 63 |
| 10 | PINOTTI Marco | 67 |
| 11 | NOCENTINI Rinaldo | 60 |
| 12 | SELLA Emanuele | 54 |