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 + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZAMANA Cezary | 74 |
| 4 | ROMANIK Radosław | 62 |
| 8 | KONYSHEV Dmitry | 77 |
| 11 | ZBERG Markus | 69 |
| 12 | WADECKI Piotr | 70 |
| 13 | PIĄTEK Zbigniew | 71 |
| 14 | BRIGNOLI Ermanno | 78 |
| 18 | RITTSEL Martin | 70 |
| 22 | UGRUMOV Piotr | 58 |
| 23 | AUS Lauri | 75 |
| 24 | CHMIELEWSKI Piotr | 72 |
| 25 | SIVAKOV Alexei | 72 |
| 26 | OZOLS Dainis | 74 |
| 27 | LJUNGQVIST Marcus | 73 |
| 29 | JÄRMANN Rolf | 73 |
| 30 | VINOKOUROV Alexandre | 68 |
| 33 | ABE Yoshiyuki | 67 |