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 - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Vigna
7
67 kgMealli
12
73 kgRitter
21
74 kgManza
21
78 kgBalmamion
21
67 kg
7
67 kgMealli
12
73 kgRitter
21
74 kgManza
21
78 kgBalmamion
21
67 kg
Weight (KG) →
Result →
78
67
7
21
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | VIGNA Marino | 67 |
| 12 | MEALLI Bruno | 73 |
| 21 | RITTER Ole | 74 |
| 21 | MANZA Ferruccio | 78 |
| 21 | BALMAMION Franco | 67 |