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 = -64.5 * weight + 5291
This means that on average for every extra kilogram weight a rider loses -64.5 positions in the result.
Gimondi
2
78 kgBracke
6
79 kgPfenninger
7
70 kgSchutz
990
72 kgDierickx
990
74 kgHarrison
990
73 kg
2
78 kgBracke
6
79 kgPfenninger
7
70 kgSchutz
990
72 kgDierickx
990
74 kgHarrison
990
73 kg
Weight (KG) →
Result →
79
70
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GIMONDI Felice | 78 |
| 6 | BRACKE Ferdinand | 79 |
| 7 | PFENNINGER Louis | 70 |
| 990 | SCHUTZ Edy | 72 |
| 990 | DIERICKX André | 74 |
| 990 | HARRISON Derek | 73 |