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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAMMERTINK Steven | 68 |
| 2 | TUSVELD Martijn | 70 |
| 4 | BOUWMAN Koen | 60 |
| 5 | VAN SCHIP Jan-Willem | 84 |
| 6 | TIETEMA Bas | 74 |
| 7 | BOL Cees | 83 |
| 9 | VAN DONGEN Ricardo | 75 |
| 10 | DE VRIES Hartthijs | 66 |
| 11 | VAN DER BURG Joost | 72 |
| 13 | JANSSEN Adriaan | 76 |
| 14 | OOMEN Sam | 65 |
| 21 | HOFSTEDE Lennard | 73 |
| 25 | WOUTERS Sieben | 67 |