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 = 1.1 * weight - 63
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VORGANOV Eduard | 65 |
| 2 | FUKUSHIMA Shinichi | 62 |
| 3 | LUND Anders | 65 |
| 7 | BRESCHEL Matti | 70 |
| 12 | SCHLECK Andy | 68 |
| 14 | PASSERON Aurélien | 73 |
| 20 | SOKOLOV Evgeny | 70 |
| 21 | DUIJN Huub | 73 |
| 22 | DUCLOS-LASSALLE Hervé | 63 |
| 25 | ROCHE Nicolas | 70 |