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 + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAGDONAS Gediminas | 78 |
| 2 | DEVILLERS Gilles | 62 |
| 4 | JUODVALKIS Egidijus | 73 |
| 6 | DE GREEF Francis | 77 |
| 9 | DE GENDT Thomas | 73 |
| 10 | KRUOPIS Aidis | 80 |
| 11 | KREDER Michel | 67 |
| 12 | LODEWYCK Klaas | 70 |
| 13 | GOURGUE Benjamin | 62 |
| 18 | GODDAERT Kristof | 72 |
| 19 | VAN ZANDBEEK Ronan | 72 |
| 20 | PARDINI Olivier | 68 |
| 21 | KRITSKIY Timofey | 81 |
| 24 | THURAU Björn | 73 |