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 = -1.1 * weight + 102
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KIŠERLOVSKI Robert | 72 |
| 5 | BOLE Grega | 69 |
| 6 | KOCJAN Jure | 72 |
| 9 | STRGAR Matic | 62 |
| 12 | BRONIŠ Roman | 74 |
| 18 | ROGINA Radoslav | 70 |
| 30 | KOREN Kristijan | 72 |
| 36 | RIŠKA Martin | 73 |
| 42 | BOŽIČ Borut | 70 |
| 44 | ŠPILAK Simon | 68 |
| 45 | BONČA Valter | 63 |
| 49 | VREČER Robert | 68 |