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 + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOŽIČ Borut | 70 |
| 3 | GAZVODA Gregor | 72 |
| 4 | BOLE Grega | 69 |
| 5 | VREČER Robert | 68 |
| 7 | MAHORIČ Mitja | 68 |
| 8 | MUGERLI Matej | 68 |
| 9 | KOCJAN Jure | 72 |
| 10 | MARIN Matej | 67 |
| 11 | BRAJKOVIČ Janez | 60 |
| 12 | VALJAVEC Tadej | 59 |
| 14 | GOLČER Jure | 66.5 |
| 17 | ŠTANGELJ Gorazd | 70 |