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 | LANDIS Floyd | 68 |
| 2 | BARRY Michael | 72 |
| 3 | PEÑA Victor Hugo | 65 |
| 4 | BELTRÁN Manuel | 60 |
| 5 | ZABRISKIE David | 67 |
| 6 | JOACHIM Benoît | 82 |
| 7 | VAN HEESWIJK Max | 73 |
| 8 | ZABEL Erik | 69 |
| 9 | VINOKOUROV Alexandre | 68 |
| 10 | KONEČNÝ Tomáš | 67 |
| 11 | BOTERO Santiago | 75 |
| 12 | EVANS Cadel | 64 |
| 13 | HIEKMANN Torsten | 70 |
| 14 | SCHRECK Stephan | 76 |
| 15 | WESEMANN Steffen | 72 |