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 = 1.1 * weight - 47
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Sundstedt
1
52 kgStiajkina
6
51 kgPučinskaitė
9
54 kgCarrigan
11
60 kgDoppmann
13
55 kgColeman
27
55 kg
1
52 kgStiajkina
6
51 kgPučinskaitė
9
54 kgCarrigan
11
60 kgDoppmann
13
55 kgColeman
27
55 kg
Weight (KG) →
Result →
60
51
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SUNDSTEDT Pia | 52 |
| 6 | STIAJKINA Tatiana | 51 |
| 9 | PUČINSKAITĖ Edita | 54 |
| 11 | CARRIGAN Sara | 60 |
| 13 | DOPPMANN Priska | 55 |
| 27 | COLEMAN Jacinta | 55 |