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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAVAZZI Mattia | 70 |
| 2 | KAŇKOVSKÝ Alois | 83 |
| 3 | SHPILEVSKY Boris | 78 |
| 4 | KADLEC Milan | 70 |
| 6 | KOLAHDOZHAGH Amir | 60 |
| 10 | MIZBANI Ghader | 67 |
| 11 | SOHRABI Mehdi | 69 |
| 12 | PARK Sang-Hoon | 77 |
| 13 | LIEPIŅŠ Emīls | 67 |
| 15 | KIM Ok Cheol | 70 |
| 17 | AVERIN Maksym | 74 |
| 20 | NEILANDS Krists | 69 |
| 21 | CHEUNG King Lok | 59 |
| 33 | SAMLI Feritcan | 75 |