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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Frattini
1
60 kgMerckx
3
77 kgZülle
4
72 kgCasagrande
5
64 kgGuerini
6
65 kgOlano
9
70 kgGarmendia
10
68 kg
1
60 kgMerckx
3
77 kgZülle
4
72 kgCasagrande
5
64 kgGuerini
6
65 kgOlano
9
70 kgGarmendia
10
68 kg
Weight (KG) →
Result →
77
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRATTINI Francesco | 60 |
| 3 | MERCKX Axel | 77 |
| 4 | ZÜLLE Alex | 72 |
| 5 | CASAGRANDE Francesco | 64 |
| 6 | GUERINI Giuseppe | 65 |
| 9 | OLANO Abraham | 70 |
| 10 | GARMENDIA Aitor | 68 |