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 + 104
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Gimondi
1
78 kgSchutz
7
72 kgPfenninger
9
70 kgBracke
11
79 kgDierickx
36
74 kgHarrison
44
73 kg
1
78 kgSchutz
7
72 kgPfenninger
9
70 kgBracke
11
79 kgDierickx
36
74 kgHarrison
44
73 kg
Weight (KG) →
Result →
79
70
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIMONDI Felice | 78 |
| 7 | SCHUTZ Edy | 72 |
| 9 | PFENNINGER Louis | 70 |
| 11 | BRACKE Ferdinand | 79 |
| 36 | DIERICKX André | 74 |
| 44 | HARRISON Derek | 73 |