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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Vanden Berghen
2
76 kgEckstein
4
57 kgAdler
5
62 kgHagen
6
74 kgGazda
7
69 kgLaidlaw
9
63 kg
2
76 kgEckstein
4
57 kgAdler
5
62 kgHagen
6
74 kgGazda
7
69 kgLaidlaw
9
63 kg
Weight (KG) →
Result →
76
57
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VANDEN BERGHEN Willy | 76 |
| 4 | ECKSTEIN Bernhard | 57 |
| 5 | ADLER Egon | 62 |
| 6 | HAGEN Erich | 74 |
| 7 | GAZDA Stanislaw | 69 |
| 9 | LAIDLAW Ken | 63 |