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 = -0.5 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Gimondi
1
78 kgBracke
4
79 kgRitter
6
74 kgPoulidor
7
71 kgBalmamion
8
67 kg
1
78 kgBracke
4
79 kgRitter
6
74 kgPoulidor
7
71 kgBalmamion
8
67 kg
Weight (KG) →
Result →
79
67
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIMONDI Felice | 78 |
| 4 | BRACKE Ferdinand | 79 |
| 6 | RITTER Ole | 74 |
| 7 | POULIDOR Raymond | 71 |
| 8 | BALMAMION Franco | 67 |