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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOŽIČ Borut | 70 |
| 2 | KUMP Marko | 68 |
| 3 | PIBERNIK Luka | 60 |
| 4 | BOLE Grega | 69 |
| 5 | MEZGEC Luka | 72 |
| 7 | VREČER Robert | 68 |
| 8 | MUGERLI Matej | 68 |
| 9 | BRAJKOVIČ Janez | 60 |
| 10 | KOREN Kristijan | 72 |
| 11 | POLANC Jan | 62 |
| 12 | BAJC Andi | 65 |
| 14 | JARC Blaž | 87 |
| 15 | GAZVODA Gregor | 72 |
| 18 | KOCJAN Jure | 72 |
| 21 | PAVLIČ Marko | 65 |