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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STROETINGA Wim | 69 |
| 2 | VERMELTFOORT Coen | 85 |
| 4 | VAN HOOYDONCK Nathan | 78 |
| 5 | BOHLI Tom | 71 |
| 6 | SCHOONBROODT Bob | 78 |
| 7 | VEREECKEN Nicolas | 72 |
| 11 | MOL Wouter | 83 |
| 12 | WOUTERS Enzo | 75 |
| 13 | GERTS Floris | 71 |
| 14 | ARIESEN Johim | 70 |