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 - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Mareczko
1
67 kgHoller
4
58 kgTipper
6
78 kgCarstensen
7
69 kgKurbatov
8
73 kgVorobyev
10
74 kg
1
67 kgHoller
4
58 kgTipper
6
78 kgCarstensen
7
69 kgKurbatov
8
73 kgVorobyev
10
74 kg
Weight (KG) →
Result →
78
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 4 | HOLLER Nikodemus | 58 |
| 6 | TIPPER Jacob | 78 |
| 7 | CARSTENSEN Lucas | 69 |
| 8 | KURBATOV Alexey | 73 |
| 10 | VOROBYEV Anton | 74 |