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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HAMBURGER Bo | 58 |
| 3 | RODRIGUES Orlando Sergio | 68 |
| 5 | GUESDON Frédéric | 73 |
| 8 | OLANO Abraham | 70 |
| 9 | ARMSTRONG Lance | 72 |
| 10 | DEKKER Erik | 66 |
| 14 | BOOGERD Michael | 62 |
| 17 | DUMA Vladimir | 64 |