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 = 0.7 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEIMLE Jannik | 73 |
| 2 | HONKISZ Adrian | 61 |
| 3 | BAIS Mattia | 66 |
| 6 | PATERSKI Maciej | 73 |
| 8 | RUTKIEWICZ Marek | 66 |
| 11 | ČERNÝ Josef | 75 |
| 12 | COLMAN Alex | 73 |
| 13 | KUKRLE Michael | 73 |
| 14 | DEWULF Stan | 74 |
| 15 | JAKOUBEK Tomáš | 72 |