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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Merckx
1
74 kgGimondi
2
78 kgRitter
4
74 kgBracke
7
79 kgBalmamion
9
67 kg
1
74 kgGimondi
2
78 kgRitter
4
74 kgBracke
7
79 kgBalmamion
9
67 kg
Weight (KG) →
Result →
79
67
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | GIMONDI Felice | 78 |
| 4 | RITTER Ole | 74 |
| 7 | BRACKE Ferdinand | 79 |
| 9 | BALMAMION Franco | 67 |