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 = -1.8 * weight + 147
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Bracke
4
79 kgGimondi
9
78 kgMerckx
11
74 kgSchleck
18
72 kgSwerts
20
75 kg
4
79 kgGimondi
9
78 kgMerckx
11
74 kgSchleck
18
72 kgSwerts
20
75 kg
Weight (KG) →
Result →
79
72
4
20
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BRACKE Ferdinand | 79 |
| 9 | GIMONDI Felice | 78 |
| 11 | MERCKX Eddy | 74 |
| 18 | SCHLECK Johny | 72 |
| 20 | SWERTS Roger | 75 |