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 = 0.7 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
García
1
54 kgStiajkina
2
51 kgVilajosana
4
57 kgPitel
5
52 kgFernandes
6
54 kgAndersen
20
68 kgFernandes Silva
21
52 kg
1
54 kgStiajkina
2
51 kgVilajosana
4
57 kgPitel
5
52 kgFernandes
6
54 kgAndersen
20
68 kgFernandes Silva
21
52 kg
Weight (KG) →
Result →
68
51
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARCÍA Evelyn | 54 |
| 2 | STIAJKINA Tatiana | 51 |
| 4 | VILAJOSANA Marta | 57 |
| 5 | PITEL Edwige | 52 |
| 6 | FERNANDES Clemilda | 54 |
| 20 | ANDERSEN Mette | 68 |
| 21 | FERNANDES SILVA Janildes | 52 |