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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Van Looy
1
75 kgMartinelli
2
74 kgMoser
4
79 kgEdwards
8
80 kgVandi
9
64 kgLasa
10
68 kg
1
75 kgMartinelli
2
74 kgMoser
4
79 kgEdwards
8
80 kgVandi
9
64 kgLasa
10
68 kg
Weight (KG) →
Result →
80
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN LOOY Frans | 75 |
| 2 | MARTINELLI Giuseppe | 74 |
| 4 | MOSER Francesco | 79 |
| 8 | EDWARDS Phil | 80 |
| 9 | VANDI Alfio | 64 |
| 10 | LASA Miguel María | 68 |