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 = -1.8 * weight + 163
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BLUMMEL Robin | 76 |
| 6 | DEKKER David | 80 |
| 8 | VAN BOKHOVEN Ramon | 79 |
| 9 | D'HEYGERE Gil | 76 |
| 14 | VERMEERSCH Florian | 81 |
| 16 | VANOVERBERGHE Jens | 74 |
| 17 | DEMEYERE Torsten | 78 |
| 35 | VANDERMEERSCH Emilien | 75 |
| 38 | ANSONS Kristers | 77 |
| 40 | BOOTSVELD Jelle | 75 |
| 42 | BOUTS Jens | 72 |
| 43 | DEBEIR Arno | 60 |
| 50 | COLMAN Alex | 73 |
| 54 | DESAL Ceriel | 76 |