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 = -1.4 * weight + 104
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Pettersson
2
69 kgPettersson
6
75 kgBalmamion
14
67 kgMartini
21
65 kg
2
69 kgPettersson
6
75 kgBalmamion
14
67 kgMartini
21
65 kg
Weight (KG) →
Result →
75
65
2
21
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PETTERSSON Tomas | 69 |
| 6 | PETTERSSON Gösta | 75 |
| 14 | BALMAMION Franco | 67 |
| 21 | MARTINI Flavio | 65 |