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 | STORER Michael | 63 |
| 4 | KASPERKIEWICZ Przemysław | 71 |
| 7 | VAN SCHIP Jan-Willem | 84 |
| 9 | O'LOUGHLIN Michael | 72 |
| 10 | BAKKER Dennis | 74.5 |
| 11 | MEIJERS Daan | 70 |
| 14 | VINTHER Troels Rønning | 68 |
| 16 | DAWSON Christopher | 73 |
| 18 | TEGGART Matthew | 63 |