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 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EINHORN Itamar | 72 |
| 2 | FRETIN Milan | 70 |
| 3 | LAMPERTI Luke | 74 |
| 4 | KOCH Jonas | 75 |
| 5 | FREDHEIM Stian | 72 |
| 6 | VADER Milan | 63 |
| 7 | LONARDI Giovanni | 70 |
| 8 | VAN DIJKE Tim | 74 |
| 9 | JONES Taj | 82 |
| 10 | NEUMAN Dominik | 72 |
| 12 | LAUK Karl Patrick | 69 |
| 13 | TIVANI German Nicolás | 67 |
| 14 | ŠTOČEK Matúš | 80 |
| 15 | PAJUR Romet | 78 |
| 16 | BONIFAZIO Niccolò | 72 |
| 18 | PETRUŠ Jiří | 64 |