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 | RUÉ Gérard | 74 |
| 2 | FIGNON Laurent | 67 |
| 3 | TETERIOUK Andrei | 72 |
| 3 | UGRUMOV Piotr | 58 |
| 3 | KONYSHEV Dmitry | 77 |
| 4 | JALABERT Laurent | 66 |
| 4 | BOURGUIGNON Thierry | 72 |
| 5 | MADOUAS Laurent | 70 |
| 7 | LIPTÁK Miroslav | 68 |
| 8 | LELLI Massimiliano | 69 |
| 8 | TAFI Andrea | 73 |
| 9 | VERSTREPEN Johan | 66 |
| 11 | BRUYNEEL Johan | 71 |
| 13 | MEJIA Alvaro | 63 |
| 13 | MARÍN Ruber Alveiro | 55 |
| 17 | RIIS Bjarne | 71 |