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 = -1.1 * weight + 103
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Moser
1
79 kgEdwards
5
80 kgVandi
7
64 kgLadrón
12
74 kgLasa
15
68 kgMartinelli
16
74 kgVan Looy
51
75 kgAja
56
66 kg
1
79 kgEdwards
5
80 kgVandi
7
64 kgLadrón
12
74 kgLasa
15
68 kgMartinelli
16
74 kgVan Looy
51
75 kgAja
56
66 kg
Weight (KG) →
Result →
80
64
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 5 | EDWARDS Phil | 80 |
| 7 | VANDI Alfio | 64 |
| 12 | LADRÓN Rafael | 74 |
| 15 | LASA Miguel María | 68 |
| 16 | MARTINELLI Giuseppe | 74 |
| 51 | VAN LOOY Frans | 75 |
| 56 | AJA Gonzalo | 66 |