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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Gazda
2
69 kgZieliński
4
80 kgSaidkhuzhin
6
69 kgHoffmann
8
65 kgRitter
9
74 kgMagiera
10
78 kg
2
69 kgZieliński
4
80 kgSaidkhuzhin
6
69 kgHoffmann
8
65 kgRitter
9
74 kgMagiera
10
78 kg
Weight (KG) →
Result →
80
65
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GAZDA Stanislaw | 69 |
| 4 | ZIELIŃSKI Rajmund | 80 |
| 6 | SAIDKHUZHIN Gainan | 69 |
| 8 | HOFFMANN Günter | 65 |
| 9 | RITTER Ole | 74 |
| 10 | MAGIERA Jan | 78 |