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 - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bertizzolo
1
54 kgStultiens
2
58 kgYonamine
3
51 kgMajerus
5
56 kgHammes
8
54 kgBujak
9
63 kg
1
54 kgStultiens
2
58 kgYonamine
3
51 kgMajerus
5
56 kgHammes
8
54 kgBujak
9
63 kg
Weight (KG) →
Result →
63
51
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERTIZZOLO Sofia | 54 |
| 2 | STULTIENS Sabrina | 58 |
| 3 | YONAMINE Eri | 51 |
| 5 | MAJERUS Christine | 56 |
| 8 | HAMMES Kathrin | 54 |
| 9 | BUJAK Eugenia | 63 |