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 = -1.8 * weight + 143
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Karaliok
1
75 kgAkhramenka
2
78 kgShauchenka
5
74 kgStrokau
8
74 kgIvashkin
13
73 kg
1
75 kgAkhramenka
2
78 kgShauchenka
5
74 kgStrokau
8
74 kgIvashkin
13
73 kg
Weight (KG) →
Result →
78
73
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KARALIOK Yauheni | 75 |
| 2 | AKHRAMENKA Yauheni | 78 |
| 5 | SHAUCHENKA Siarhei | 74 |
| 8 | STROKAU Vasili | 74 |
| 13 | IVASHKIN Anton | 73 |