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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POZDNYAKOV Kirill | 67 |
| 2 | PUTT Tanner | 75 |
| 3 | SELLIER Simon | 68 |
| 4 | MAGER Christian | 60 |
| 5 | AÏT EL ABDIA Anass | 66 |
| 7 | LAHSAINI Mouhssine | 77 |
| 8 | JOURNIAUX Axel | 63 |
| 9 | ASADOV Elchin | 77 |