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 + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WALLIN Rasmus Bøgh | 78 |
| 2 | MALMBERG Matias | 68 |
| 3 | LARSEN Mathias Alexander Erik | 72 |
| 4 | FORTIN Filippo | 78 |
| 5 | PAJUR Markus | 72 |
| 6 | BANASZEK Norbert | 75 |
| 7 | EEFTING-BLOEM Roy | 75 |
| 8 | STOSZ Patryk | 70 |
| 9 | FORSSELL Hugo | 86 |
| 10 | PATERSKI Maciej | 73 |
| 11 | VAHTRA Norman | 85 |
| 13 | KISKONEN Siim | 64 |
| 14 | RÄIM Mihkel | 69 |
| 15 | RUDYK Bartosz | 76 |