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 = -0.4 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIŠERLOVSKI Robert | 72 |
| 2 | ROHREGGER Thomas | 63 |
| 3 | CUNEGO Damiano | 58 |
| 4 | PEREZ CUAPIO Julio Alberto | 58 |
| 5 | PFANNBERGER Christian | 63 |
| 6 | FERRARA Raffaele | 60 |
| 7 | SCARPONI Michele | 62 |
| 9 | TIRALONGO Paolo | 63 |
| 11 | AUGUSTYN John-Lee | 65 |
| 15 | SELLA Emanuele | 54 |
| 16 | GARZELLI Stefano | 62 |