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 - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Stevens
1
55 kgGuarnier
3
54 kgFernandes
4
54 kgGonzález
5
60 kgDrexel
7
62 kgDa Silva Souza
9
53 kgMejías
11
60 kg
1
55 kgGuarnier
3
54 kgFernandes
4
54 kgGonzález
5
60 kgDrexel
7
62 kgDa Silva Souza
9
53 kgMejías
11
60 kg
Weight (KG) →
Result →
62
53
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEVENS Evelyn | 55 |
| 3 | GUARNIER Megan | 54 |
| 4 | FERNANDES Clemilda | 54 |
| 5 | GONZÁLEZ Angie Sabrina | 60 |
| 7 | DREXEL Ingrid | 62 |
| 9 | DA SILVA SOUZA Fernanda | 53 |
| 11 | MEJÍAS Marlies | 60 |