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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DUNNE Conor | 88 |
| 7 | SCHELLING Patrick | 61 |
| 8 | AAEN JØRGENSEN Jonas | 63 |
| 9 | HOLLANDERS Dries | 70 |
| 10 | NIKITIN Matvey | 61 |
| 12 | SULZBERGER Wesley | 65 |
| 13 | BOSMAN Gert-Jan | 68 |
| 15 | KORETZKY Clément | 66 |
| 17 | OCKELOEN Jasper | 66 |