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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Polanc
1
62 kgDe Jonghe
2
69 kgVanoverberghe
3
65 kgTratnik
4
67 kgPibernik
6
60 kgŠtimulak
7
64 kg
1
62 kgDe Jonghe
2
69 kgVanoverberghe
3
65 kgTratnik
4
67 kgPibernik
6
60 kgŠtimulak
7
64 kg
Weight (KG) →
Result →
69
60
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POLANC Jan | 62 |
| 2 | DE JONGHE Kevin | 69 |
| 3 | VANOVERBERGHE Arthur | 65 |
| 4 | TRATNIK Jan | 67 |
| 6 | PIBERNIK Luka | 60 |
| 7 | ŠTIMULAK Klemen | 64 |