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 = 0.8 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOLE Grega | 69 |
| 3 | GAZVODA Gregor | 72 |
| 4 | ŠTANGELJ Gorazd | 70 |
| 5 | MARIN Matej | 67 |
| 7 | VREČER Robert | 68 |
| 11 | BAJC Andi | 65 |
| 13 | ŠTIMULAK Klemen | 64 |
| 18 | MEZGEC Luka | 72 |
| 19 | KUMP Marko | 68 |
| 20 | GOLČER Jure | 66.5 |
| 26 | POLANC Jan | 62 |
| 37 | MAHORIČ Mitja | 68 |
| 38 | TRATNIK Jan | 67 |
| 39 | MUGERLI Matej | 68 |
| 40 | BOŽIČ Borut | 70 |
| 43 | JARC Blaž | 87 |