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.
Nikolaev
3
66 kgBoev
4
74 kgBēcis
5
82 kgGradek
6
83 kgPavlič
7
65 kgBazhkou
8
65 kgMathis
9
71 kg
3
66 kgBoev
4
74 kgBēcis
5
82 kgGradek
6
83 kgPavlič
7
65 kgBazhkou
8
65 kgMathis
9
71 kg
Weight (KG) →
Result →
83
65
3
9
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | NIKOLAEV Sergey | 66 |
| 4 | BOEV Igor | 74 |
| 5 | BĒCIS Armands | 82 |
| 6 | GRADEK Kamil | 83 |
| 7 | PAVLIČ Marko | 65 |
| 8 | BAZHKOU Stanislau | 65 |
| 9 | MATHIS Marco | 71 |