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 = -10.5 * weight + 1255
This means that on average for every extra kilogram weight a rider loses -10.5 positions in the result.
Merckx
1
74 kgPettersson
2
75 kgPfenninger
3
70 kgPijnen
6
72 kgConti
990
79 kgAja
990
66 kgGavazzi
990
67 kgJolly
990
76 kg
1
74 kgPettersson
2
75 kgPfenninger
3
70 kgPijnen
6
72 kgConti
990
79 kgAja
990
66 kgGavazzi
990
67 kgJolly
990
76 kg
Weight (KG) →
Result →
79
66
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | PETTERSSON Gösta | 75 |
| 3 | PFENNINGER Louis | 70 |
| 6 | PIJNEN René | 72 |
| 990 | CONTI Tino | 79 |
| 990 | AJA Gonzalo | 66 |
| 990 | GAVAZZI Pierino | 67 |
| 990 | JOLLY Brian | 76 |