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 = 0.6 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIERRA Arlenis | 57 |
| 2 | HOSKING Chloe | 60 |
| 3 | NOVOLODSKAIA Maria | 57 |
| 4 | CHURSINA Anastasiia | 52 |
| 8 | SHEKEL Olga | 58 |
| 9 | SHARAKOVA Tatsiana | 52 |
| 11 | VIECELI Lara | 59 |
| 12 | HAMMES Kathrin | 54 |
| 13 | NERLO Aurela | 65 |
| 14 | SANGUINETI Ilaria | 61 |
| 17 | PIRRONE Elena | 63 |