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 = 0.8 * weight - 42
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ÄRM Rait | 75 |
| 3 | PAJUR Markus | 72 |
| 5 | BENZ Pirmin | 68 |
| 6 | BUCK-GRAMCKO Tobias | 76 |
| 8 | JANUŠKEVIČIUS Mantas | 72 |
| 9 | SANKMANN Joosep | 64 |
| 10 | DANKBĀRS Oskars | 69 |
| 13 | ROSNER Linus | 68 |
| 14 | MASIULIS Denas | 71 |
| 18 | KMIELIAUSKAS Rokas | 68 |
| 20 | PELTONEN Ukko Iisakki | 69 |
| 21 | ANSONS Kristers | 77 |
| 23 | DIK Calvin | 77 |
| 26 | KARPENKO Gleb | 77 |
| 27 | KELMELIS Aristidas | 78 |