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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CONSONNI Simone | 60 |
| 2 | PELUCCHI Matteo | 74 |
| 3 | BONIFAZIO Niccolò | 72 |
| 4 | MEZGEC Luka | 72 |
| 5 | HILL Benjamin | 67 |
| 6 | ZABEL Rick | 81 |
| 8 | ENGER Sondre Holst | 69 |
| 9 | ROOSEN Timo | 78 |
| 10 | KOROŠEC Rok | 75 |
| 11 | MODOLO Sacha | 67 |
| 12 | COLNAGHI Luca | 63 |
| 14 | BALLERINI Davide | 71 |
| 15 | KUREK Adrian | 80 |
| 16 | BELLAN Juraj | 61 |
| 17 | CAVENDISH Mark | 70 |
| 19 | MOHORIČ Matej | 71 |