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 = 2.3 * weight - 153
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Pfenninger
2
70 kgGimondi
8
78 kgSteevens
24
73 kgGlemser
35
82 kgConti
38
79 kg
2
70 kgGimondi
8
78 kgSteevens
24
73 kgGlemser
35
82 kgConti
38
79 kg
Weight (KG) →
Result →
82
70
2
38
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PFENNINGER Louis | 70 |
| 8 | GIMONDI Felice | 78 |
| 24 | STEEVENS Harry | 73 |
| 35 | GLEMSER Peter | 82 |
| 38 | CONTI Tino | 79 |