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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Navardauskas
1
79 kgÖrken
2
69 kgAnsons
4
77 kgBalkan
5
69 kgSayar
9
64 kgTiryaki
16
67 kg
1
79 kgÖrken
2
69 kgAnsons
4
77 kgBalkan
5
69 kgSayar
9
64 kgTiryaki
16
67 kg
Weight (KG) →
Result →
79
64
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAVARDAUSKAS Ramūnas | 79 |
| 2 | ÖRKEN Ahmet | 69 |
| 4 | ANSONS Kristers | 77 |
| 5 | BALKAN Onur | 69 |
| 9 | SAYAR Mustafa | 64 |
| 16 | TIRYAKI Oguzhan | 67 |