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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOHORIČ Matej | 71 |
| 2 | NOVAK Domen | 70 |
| 3 | PIBERNIK Luka | 60 |
| 4 | TRATNIK Jan | 67 |
| 5 | GROŠELJ Žiga | 62 |
| 6 | POGAČAR Tadej | 66 |
| 7 | GAZVODA Gregor | 72 |
| 10 | PAVLIČ Marko | 65 |
| 11 | BOLE Grega | 69 |
| 12 | GOLČER Jure | 66.5 |
| 13 | BRAJKOVIČ Janez | 60 |
| 14 | KOREN Kristijan | 72 |
| 15 | BAJC Andi | 65 |