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 = 1.9 * weight - 111
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAFFI Adriano | 70 |
| 2 | JALABERT Laurent | 66 |
| 4 | EDO Ángel | 64 |
| 5 | FRATTINI Francesco | 60 |
| 8 | DEKKER Erik | 66 |
| 12 | ZBERG Beat | 72 |
| 13 | WESEMANN Steffen | 72 |
| 14 | EKIMOV Viatcheslav | 69 |
| 16 | HAMBURGER Bo | 58 |
| 20 | WELTZ Johnny | 65 |
| 36 | CORDES Tom | 70 |
| 45 | INDURÁIN Miguel | 76 |
| 54 | ZÜLLE Alex | 72 |
| 58 | BREUKINK Erik | 70 |