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 + 43
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STRGAR Matic | 62 |
| 6 | CURVERS Roy | 73 |
| 8 | KOCJAN Jure | 72 |
| 14 | MAHORIČ Mitja | 68 |
| 31 | HOOGERLAND Johnny | 65 |
| 32 | VANSUMMEREN Johan | 79 |
| 39 | ROGINA Radoslav | 70 |
| 40 | RIŠKA Martin | 73 |
| 41 | CLEMENT Stef | 66 |
| 42 | GOLČER Jure | 66.5 |
| 51 | SIEDLER Sebastian | 75 |
| 62 | NIEMIEC Przemysław | 62 |
| 65 | VAN HECKE Preben | 69 |
| 73 | CARLSTRÖM Kjell | 70 |