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 = -6.9 * weight + 468
This means that on average for every extra kilogram weight a rider loses -6.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAUGETUN Kristian | 63 |
| 4 | ROSATO Giacomo | 57 |
| 8 | JACKOWIAK Jan Michal | 65 |
| 10 | FRIGO Davide | 68 |
| 17 | TURCONI Matteo | 67 |
| 44 | JORDAN Ayden | 61 |
| 83 | PIGHIN Christian | 60 |
| 111 | SANTOS Guilherme | 55 |
| 114 | DAVIDOV Igor | 57 |