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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MATTHEWS Michael | 72 |
| 4 | TLEUBAYEV Ruslan | 70 |
| 6 | HASELBACHER René | 69 |
| 7 | EIBEGGER Markus | 68 |
| 9 | BELL Zach | 75 |
| 10 | SALEH Mohd Zamri | 58 |
| 11 | BRÄNDLE Matthias | 80 |
| 14 | GRABOVSKYY Dmytro | 69 |
| 18 | PIDGORNYY Ruslan | 72 |
| 20 | DE NEGRI Pier Paolo | 61 |