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 = -3.5 * weight + 249
This means that on average for every extra kilogram weight a rider loses -3.5 positions in the result.
Imboden
3
70 kgTrinkler
4
67 kgWechselberger
5
71 kgRominger
6
65 kgMuckenhuber
53
66 kg
3
70 kgTrinkler
4
67 kgWechselberger
5
71 kgRominger
6
65 kgMuckenhuber
53
66 kg
Weight (KG) →
Result →
71
65
3
53
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | IMBODEN Heinz | 70 |
| 4 | TRINKLER Richard | 67 |
| 5 | WECHSELBERGER Helmut | 71 |
| 6 | ROMINGER Tony | 65 |
| 53 | MUCKENHUBER Peter | 66 |