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 = 1.4 * weight - 79
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Jankiewicz
3
68 kgMuckenhuber
6
66 kgMytnik
7
75 kgWechselberger
19
71 kgLienhart
30
66 kgSummer
43
77 kg
3
68 kgMuckenhuber
6
66 kgMytnik
7
75 kgWechselberger
19
71 kgLienhart
30
66 kgSummer
43
77 kg
Weight (KG) →
Result →
77
66
3
43
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JANKIEWICZ Jan | 68 |
| 6 | MUCKENHUBER Peter | 66 |
| 7 | MYTNIK Tadeusz | 75 |
| 19 | WECHSELBERGER Helmut | 71 |
| 30 | LIENHART Johann | 66 |
| 43 | SUMMER Johann | 77 |