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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARDINI Olivier | 68 |
| 2 | ROBERT Fréderique | 68 |
| 3 | BAKELANTS Jan | 67 |
| 4 | DE GENDT Thomas | 73 |
| 6 | VAN GENECHTEN Jonas | 67 |
| 8 | VERMOTE Julien | 74 |
| 9 | VERMELTFOORT Coen | 85 |
| 13 | VAN EMDEN Jos | 78 |
| 15 | POLAZZI Fabio | 63 |
| 16 | DEGENKOLB John | 82 |
| 18 | BAUGNIES Jérôme | 69 |
| 22 | BOECKMANS Kris | 76 |
| 24 | ZINGLE Romain | 67 |
| 25 | CORDEEL Sander | 80 |
| 26 | PLANCKAERT Baptiste | 65 |