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 = -1.2 * weight + 109
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Gimondi
6
78 kgBalmamion
13
67 kgBariviera
19
72 kgMealli
26
73 kgTrapè
33
75 kgVigna
42
67 kg
6
78 kgBalmamion
13
67 kgBariviera
19
72 kgMealli
26
73 kgTrapè
33
75 kgVigna
42
67 kg
Weight (KG) →
Result →
78
67
6
42
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | GIMONDI Felice | 78 |
| 13 | BALMAMION Franco | 67 |
| 19 | BARIVIERA Vendramino | 72 |
| 26 | MEALLI Bruno | 73 |
| 33 | TRAPÈ Livio | 75 |
| 42 | VIGNA Marino | 67 |