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 = -5.1 * weight + 432
This means that on average for every extra kilogram weight a rider loses -5.1 positions in the result.
Sercu
2
76 kgPettersson
11
75 kgRitter
25
74 kgConti
75
79 kgMartini
91
65 kgVianelli
94
73 kgPettersson
110
67 kg
2
76 kgPettersson
11
75 kgRitter
25
74 kgConti
75
79 kgMartini
91
65 kgVianelli
94
73 kgPettersson
110
67 kg
Weight (KG) →
Result →
79
65
2
110
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SERCU Patrick | 76 |
| 11 | PETTERSSON Gösta | 75 |
| 25 | RITTER Ole | 74 |
| 75 | CONTI Tino | 79 |
| 91 | MARTINI Flavio | 65 |
| 94 | VIANELLI Pierfranco | 73 |
| 110 | PETTERSSON Erik | 67 |