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 = -1.4 * weight + 135
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DERKSEN Jente | 69 |
| 7 | KLIMAVIČIUS Nikolas | 69 |
| 8 | QUINT Antoine | 75 |
| 13 | HEWES Alex | 69 |
| 17 | SMIT Stan | 59 |
| 27 | HUITEMA Thomas | 72 |
| 36 | HANEGRAAF Niels | 70 |
| 40 | VAN KEULEN Wessel | 71 |
| 43 | WEBER Gino | 77 |
| 45 | HORTER Matthew | 67 |
| 50 | VUGTS Bram | 67 |
| 54 | AERNOUTS Nicolas | 55 |
| 82 | LANGBEEN Ludovic | 68 |
| 85 | DAHLER Thijs | 60 |
| 86 | VAN GELDER Jonas | 68 |
| 87 | WALLACH Eilam | 69 |