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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Petrov
2
76 kgKegel
4
72 kgSmolík
5
73 kgHoffmann
8
65 kgAndresen
9
75 kg
2
76 kgKegel
4
72 kgSmolík
5
73 kgHoffmann
8
65 kgAndresen
9
75 kg
Weight (KG) →
Result →
76
65
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PETROV Aleksei | 76 |
| 4 | KEGEL Marian | 72 |
| 5 | SMOLÍK Jan | 73 |
| 8 | HOFFMANN Günter | 65 |
| 9 | ANDRESEN Thorleif | 75 |