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 = 0.6 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VLOT Mees | 57 |
| 7 | NAGENGAST Ruud Junior | 62 |
| 9 | VANDEVORST Nio | 74 |
| 13 | NIELSEN Daniel Weis | 60 |
| 14 | GIULIANO Dario | 63 |
| 20 | DOCKX Gilles | 61 |
| 31 | VAN DER WERFF Thom | 60 |
| 33 | HEYMANS Yarno | 63 |
| 40 | WIDAR Jarno | 54 |
| 47 | HEMERYCK Wout | 72 |
| 48 | CRABBE Tom | 70 |