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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVENEPOEL Remco | 61 |
| 2 | PLUIMERS Rick | 67 |
| 3 | WÆRENSKJOLD Søren | 92 |
| 4 | MAYRHOFER Marius | 70 |
| 5 | KLUCKERS Arthur | 71 |
| 6 | PETRUCCI Mattia | 56 |
| 7 | VAN WILDER Ilan | 64 |
| 8 | PATTYN Steven | 63 |
| 9 | VERVLOESEM Xandres | 65 |
| 10 | LINDNER Tom | 71 |