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 = -0.4 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LEBAS Thomas | 65 |
| 4 | EIKELAND Ken Levi | 68 |
| 5 | FERNÁNDEZ Delio | 69 |
| 6 | MORENO Javier | 63 |
| 7 | KIPKEMBOI Salim | 63 |
| 9 | REBELLIN Davide | 63 |
| 10 | LAKASEK Irwandie | 71 |
| 12 | PACHER Quentin | 62 |
| 14 | TSUBAKI Hiroshi | 62 |