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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUBIŠ Lukáš | 70 |
| 2 | TONEATTI Davide | 65 |
| 3 | RAILEANU Cristian | 63 |
| 4 | GIERACKI Patryk | 71 |
| 5 | SMIRNOV Ivan | 83 |
| 6 | DARDER Sergi | 67 |
| 8 | SOWIŃSKI Artur | 63 |
| 9 | BOWER Lewis | 63 |
| 10 | DUCKERT Roman | 68 |
| 11 | GARCÍA José María | 67 |