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 = -0.6 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PAJUR Romet | 78 |
| 4 | LARSSON David | 73 |
| 6 | KLISMETS Kārlis | 64 |
| 11 | POMORSKI Michał | 76 |
| 13 | LENNARTSSON Hugo | 69 |
| 14 | TAMM Lauri | 73 |
| 15 | LOVIDIUS Gustav | 68 |
| 19 | ŻELAZOWSKI Michał | 68 |
| 20 | WIŚNIEWSKI Szymon | 68 |
| 22 | DAHLBLOM Acke | 62 |
| 23 | FRANCISCO Jude Gabriel | 62 |
| 25 | KONGSTAD Alfred | 75 |