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 = 0.3 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIVERA Kevin | 56 |
| 5 | PRUUS Peeter | 71 |
| 6 | NAZARET Magno | 65 |
| 8 | GUARDIOLA Salvador | 65 |
| 9 | DE MAAR Marc | 70 |
| 11 | CECCHIN Alberto | 70 |
| 12 | SPREAFICO Matteo | 69 |
| 14 | KARALIOK Yauheni | 75 |
| 15 | NIKITIN Matvey | 61 |
| 17 | TSOY Vladimir | 73 |
| 18 | UCHIMA Kohei | 63 |