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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FORTIN Filippo | 78 |
| 2 | PAJUR Markus | 72 |
| 3 | EEFTING-BLOEM Roy | 75 |
| 4 | STOSZ Patryk | 70 |
| 5 | WALLIN Rasmus Bøgh | 78 |
| 6 | PATERSKI Maciej | 73 |
| 7 | BANASZEK Norbert | 75 |
| 8 | MALMBERG Matias | 68 |
| 9 | RUDYK Bartosz | 76 |
| 11 | VAHTRA Norman | 85 |