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 = 0.6 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Cantele
2
58 kgWood
3
56 kgBronzini
5
54 kgValen
7
62 kgArndt
8
59 kgMartisova
10
64 kg
2
58 kgWood
3
56 kgBronzini
5
54 kgValen
7
62 kgArndt
8
59 kgMartisova
10
64 kg
Weight (KG) →
Result →
64
54
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CANTELE Noemi | 58 |
| 3 | WOOD Oenone | 56 |
| 5 | BRONZINI Giorgia | 54 |
| 7 | VALEN Anita | 62 |
| 8 | ARNDT Judith | 59 |
| 10 | MARTISOVA Julia | 64 |