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 | DAVIS Allan | 73 |
| 2 | BROWN Graeme Allen | 76 |
| 3 | LAFUENTE Andoni | 60 |
| 4 | O'GRADY Stuart | 73 |
| 5 | KAISEN Olivier | 82 |
| 6 | KEMPS Aaron | 73 |
| 7 | WILSON Matthew | 72 |
| 8 | EFIMKIN Vladimir | 67 |
| 9 | BLOT Guillaume | 71 |
| 10 | ELMIGER Martin | 73 |
| 11 | ROJAS José Joaquín | 70 |
| 12 | ROGERS Michael | 74 |
| 13 | IRIZAR Markel | 73 |
| 14 | MEYER Travis | 68 |