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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Zabirova
1
65 kgMelchers
3
59 kgDoppmann
4
55 kgPučinskaitė
6
54 kgArndt
9
59 kgValen
11
62 kgRossner
17
64 kg
1
65 kgMelchers
3
59 kgDoppmann
4
55 kgPučinskaitė
6
54 kgArndt
9
59 kgValen
11
62 kgRossner
17
64 kg
Weight (KG) →
Result →
65
54
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABIROVA Zulfiya | 65 |
| 3 | MELCHERS Mirjam | 59 |
| 4 | DOPPMANN Priska | 55 |
| 6 | PUČINSKAITĖ Edita | 54 |
| 9 | ARNDT Judith | 59 |
| 11 | VALEN Anita | 62 |
| 17 | ROSSNER Petra | 64 |