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 = 44.4 * weight - 2764
This means that on average for every extra kilogram weight a rider loses 44.4 positions in the result.
Adler
1
62 kgEckstein
2
57 kgSaidkhuzhin
3
69 kgGazda
5
69 kgLaidlaw
6
63 kgMegyerdi
10
65 kgHagen
990
74 kg
1
62 kgEckstein
2
57 kgSaidkhuzhin
3
69 kgGazda
5
69 kgLaidlaw
6
63 kgMegyerdi
10
65 kgHagen
990
74 kg
Weight (KG) →
Result →
74
57
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ADLER Egon | 62 |
| 2 | ECKSTEIN Bernhard | 57 |
| 3 | SAIDKHUZHIN Gainan | 69 |
| 5 | GAZDA Stanislaw | 69 |
| 6 | LAIDLAW Ken | 63 |
| 10 | MEGYERDI Antal | 65 |
| 990 | HAGEN Erich | 74 |