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 = 1.2 * weight - 65
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VREČER Robert | 68 |
| 4 | DE MARCHI Alessandro | 65 |
| 7 | ŠTIMULAK Klemen | 64 |
| 14 | BOLE Grega | 69 |
| 16 | KVASINA Matija | 72 |
| 19 | BAJC Andi | 65 |
| 23 | MAHORIČ Mitja | 68 |
| 27 | ROGINA Radoslav | 70 |
| 34 | MARIN Matej | 67 |