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 = -0.9 * weight + 72
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Trentin
1
74 kgRatto
2
74 kgAlafaci
3
77 kgOrrico
9
70 kgViviani
10
67 kg
1
74 kgRatto
2
74 kgAlafaci
3
77 kgOrrico
9
70 kgViviani
10
67 kg
Weight (KG) →
Result →
77
67
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRENTIN Matteo | 74 |
| 2 | RATTO Daniele | 74 |
| 3 | ALAFACI Eugenio | 77 |
| 9 | ORRICO Davide | 70 |
| 10 | VIVIANI Elia | 67 |