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 + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kvasina
1
72 kgRogina
3
70 kgMarin
4
67 kgPolanc
6
62 kgPavlič
8
65 kgKrivtsov
10
72 kg
1
72 kgRogina
3
70 kgMarin
4
67 kgPolanc
6
62 kgPavlič
8
65 kgKrivtsov
10
72 kg
Weight (KG) →
Result →
72
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KVASINA Matija | 72 |
| 3 | ROGINA Radoslav | 70 |
| 4 | MARIN Matej | 67 |
| 6 | POLANC Jan | 62 |
| 8 | PAVLIČ Marko | 65 |
| 10 | KRIVTSOV Dmytro | 72 |