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 = -53.9 * weight + 4286
This means that on average for every extra kilogram weight a rider loses -53.9 positions in the result.
Gimondi
2
78 kgMerckx
4
74 kgAja
5
66 kgConti
8
79 kgOvion
990
64 kgPfenninger
990
70 kgSutter
990
70 kg
2
78 kgMerckx
4
74 kgAja
5
66 kgConti
8
79 kgOvion
990
64 kgPfenninger
990
70 kgSutter
990
70 kg
Weight (KG) →
Result →
79
64
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GIMONDI Felice | 78 |
| 4 | MERCKX Eddy | 74 |
| 5 | AJA Gonzalo | 66 |
| 8 | CONTI Tino | 79 |
| 990 | OVION Régis | 64 |
| 990 | PFENNINGER Louis | 70 |
| 990 | SUTTER Ueli | 70 |