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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUFAUX Laurent | 60 |
| 3 | EKIMOV Viatcheslav | 69 |
| 4 | CENGHIALTA Bruno | 73 |
| 5 | COLOMBO Gabriele | 70 |
| 8 | MEJIA Alvaro | 63 |
| 9 | BREUKINK Erik | 70 |
| 10 | ARMSTRONG Lance | 72 |
| 11 | TCHMIL Andrei | 75 |
| 12 | BOOGERD Michael | 62 |
| 13 | ULLRICH Jan | 73 |
| 14 | SIMON François | 70 |
| 16 | OSA Aitor | 64 |
| 18 | CASERO Ángel Luis | 72 |