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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BELOHVOŠČIKS Raivis | 70 |
| 3 | OSA Aitor | 64 |
| 4 | BARANOWSKI Dariusz | 68 |
| 5 | PIIL Jakob Storm | 65 |
| 6 | ETXEBARRIA Unai | 68 |
| 7 | SCHLECK Fränk | 65 |
| 8 | DA CRUZ Carlos | 74 |
| 9 | BLAUDZUN Michael | 66 |
| 10 | JAKSCHE Jörg | 69 |
| 11 | LÖWIK Gerben | 72 |
| 12 | CONTADOR Alberto | 61 |
| 13 | RAMÍREZ Javier | 61 |