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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOUCHÉ James | 71 |
| 3 | SCARONI Christian | 63 |
| 5 | VAN MOER Brent | 79 |
| 6 | HARTLEY Adam | 62 |
| 7 | CASTRIQUE Jonas | 81 |
| 8 | KLUCKERS Arthur | 71 |
| 9 | O'LOUGHLIN Michael | 72 |
| 10 | DENIS Thomas | 67 |
| 11 | REYNDERS Jens | 76 |
| 13 | LEKNESSUND Andreas | 72 |
| 15 | VAN DEN DOOL Jens | 68 |
| 16 | FOSS Tobias | 74 |
| 17 | VAN WILDER Ilan | 64 |
| 18 | SCHELLING Ide | 66 |