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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Burkhard
2
75 kgHoffmann
3
65 kgBławdzin
5
69 kgCzechowski
9
75 kgKegel
10
72 kg
2
75 kgHoffmann
3
65 kgBławdzin
5
69 kgCzechowski
9
75 kgKegel
10
72 kg
Weight (KG) →
Result →
75
65
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BURKHARD Ebert | 75 |
| 3 | HOFFMANN Günter | 65 |
| 5 | BŁAWDZIN Andrzej | 69 |
| 9 | CZECHOWSKI Zenon | 75 |
| 10 | KEGEL Marian | 72 |