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 = 0.8 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Moser
1
79 kgLasa
6
68 kgVandi
11
64 kgEdwards
27
80 kgMartinelli
39
74 kgVan Looy
46
75 kg
1
79 kgLasa
6
68 kgVandi
11
64 kgEdwards
27
80 kgMartinelli
39
74 kgVan Looy
46
75 kg
Weight (KG) →
Result →
80
64
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 6 | LASA Miguel María | 68 |
| 11 | VANDI Alfio | 64 |
| 27 | EDWARDS Phil | 80 |
| 39 | MARTINELLI Giuseppe | 74 |
| 46 | VAN LOOY Frans | 75 |