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 = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Kierner
3
79 kgAmann
4
76 kgFriedrich
5
71 kgBayer
9
71 kgGamper
11
86 kg
3
79 kgAmann
4
76 kgFriedrich
5
71 kgBayer
9
71 kgGamper
11
86 kg
Weight (KG) →
Result →
86
71
3
11
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KIERNER Florian | 79 |
| 4 | AMANN Dominik | 76 |
| 5 | FRIEDRICH Marco | 71 |
| 9 | BAYER Tobias | 71 |
| 11 | GAMPER Florian | 86 |