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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Gazda
1
69 kgMegyerdi
2
65 kgMoiceanu
3
72 kgMelikhov
4
76 kgSaidkhuzhin
5
69 kg
1
69 kgMegyerdi
2
65 kgMoiceanu
3
72 kgMelikhov
4
76 kgSaidkhuzhin
5
69 kg
Weight (KG) →
Result →
76
65
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAZDA Stanislaw | 69 |
| 2 | MEGYERDI Antal | 65 |
| 3 | MOICEANU Gabriel | 72 |
| 4 | MELIKHOV Yury | 76 |
| 5 | SAIDKHUZHIN Gainan | 69 |