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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Sella
2
54 kgChalapud
3
63 kgRosa
4
65 kgMonsalve
5
62 kgUlissi
6
63 kgCunego
7
58 kg
2
54 kgChalapud
3
63 kgRosa
4
65 kgMonsalve
5
62 kgUlissi
6
63 kgCunego
7
58 kg
Weight (KG) →
Result →
65
54
2
7
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SELLA Emanuele | 54 |
| 3 | CHALAPUD Robinson | 63 |
| 4 | ROSA Diego | 65 |
| 5 | MONSALVE Yonathan | 62 |
| 6 | ULISSI Diego | 63 |
| 7 | CUNEGO Damiano | 58 |