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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KACZMAREK Jakub | 66 |
| 3 | BANASZEK Norbert | 75 |
| 4 | ȚVETCOV Serghei | 69 |
| 5 | DIMA Emil | 73 |
| 6 | ZURLO Federico | 70 |
| 7 | RUDYS Paul | 60 |
| 9 | FEDOROV Yevgeniy | 80 |
| 10 | CHZHAN Igor | 71 |
| 11 | BARONI Alessandro | 63 |
| 12 | NIKITIN Matvey | 61 |
| 13 | KRAWCZYK Szymon | 79 |
| 16 | GROSU Eduard-Michael | 68 |
| 17 | ANIOŁKOWSKI Stanisław | 68 |
| 20 | FILUTÁS Viktor | 68 |
| 22 | PAPIERSKI Damian | 81 |
| 23 | TYBOR Patrik | 72 |
| 24 | ONESTI Emanuele | 71 |