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 = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Pozzovivo
2
53 kgBeppu
3
69 kgDa Dalto
4
72 kgCorioni
5
67 kgPidgornyy
10
72 kg
2
53 kgBeppu
3
69 kgDa Dalto
4
72 kgCorioni
5
67 kgPidgornyy
10
72 kg
Weight (KG) →
Result →
72
53
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | POZZOVIVO Domenico | 53 |
| 3 | BEPPU Fumiyuki | 69 |
| 4 | DA DALTO Mauro | 72 |
| 5 | CORIONI Claudio | 67 |
| 10 | PIDGORNYY Ruslan | 72 |