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 = 1.9 * weight - 65
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | HEWES Alex | 69 |
| 32 | NOVAL Benjamín | 72 |
| 33 | HAUGETUN Kristian | 63 |
| 39 | ROSATO Giacomo | 57 |
| 42 | JORDAN Ayden | 61 |
| 50 | FRIGO Davide | 68 |
| 54 | GOLDSTEIN Or | 57 |
| 55 | DAVIDOV Igor | 57 |
| 61 | TURCONI Matteo | 67 |
| 84 | DENTELLI Giacomo | 67 |
| 95 | SALAMIN Antoine | 72 |
| 114 | JACKOWIAK Jan Michal | 65 |
| 121 | MARKOVIC Gavrilo | 75 |