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 - 23
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STRGAR Matic | 62 |
| 3 | BRAJKOVIČ Janez | 60 |
| 5 | EIBEGGER Markus | 68 |
| 10 | BOLE Grega | 69 |
| 12 | KOCJAN Jure | 72 |
| 16 | GOESINNEN Floris | 75 |
| 18 | JOVANOVIĆ Nebojša | 60 |
| 19 | BENETSEDER Josef | 65 |
| 20 | PICHLER Michael | 70 |
| 21 | MOL Wouter | 83 |