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 = 0.5 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAHORIČ Mitja | 68 |
| 2 | GOLČER Jure | 66.5 |
| 5 | CLEMENT Stef | 66 |
| 7 | VANSUMMEREN Johan | 79 |
| 10 | ROGINA Radoslav | 70 |
| 13 | STRGAR Matic | 62 |
| 20 | RIŠKA Martin | 73 |
| 29 | NIEMIEC Przemysław | 62 |
| 42 | VAN HECKE Preben | 69 |
| 43 | SIEDLER Sebastian | 75 |
| 51 | CURVERS Roy | 73 |
| 62 | KOCJAN Jure | 72 |
| 65 | CARLSTRÖM Kjell | 70 |
| 67 | HOOGERLAND Johnny | 65 |