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 = -2.1 * weight + 173
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
Bracke
7
79 kgGimondi
11
78 kgSwerts
16
75 kgMerckx
17
74 kgSchleck
23
72 kg
7
79 kgGimondi
11
78 kgSwerts
16
75 kgMerckx
17
74 kgSchleck
23
72 kg
Weight (KG) →
Result →
79
72
7
23
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | BRACKE Ferdinand | 79 |
| 11 | GIMONDI Felice | 78 |
| 16 | SWERTS Roger | 75 |
| 17 | MERCKX Eddy | 74 |
| 23 | SCHLECK Johny | 72 |