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) |
|---|---|---|
| 4 | MULUBRHAN Henok | 60 |
| 5 | FOUCHÉ James | 71 |
| 6 | MANIZABAYO Eric | 72 |
| 7 | STEWART Mark | 70 |
| 8 | IRIBAR Unai | 64 |
| 9 | LECERF Junior | 54 |
| 11 | BUDYAK Anatoliy | 53 |
| 12 | MUGISHA Moise | 58 |
| 13 | DE LA PARTE Víctor | 64 |
| 14 | REINDERINK Pepijn | 67 |
| 15 | RAISBERG Nadav | 67 |