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 + 21
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Zárate
1
68 kgMayoz
3
62 kgOsa
4
64 kgCunego
5
58 kgCuesta
6
62 kgPiepoli
7
54 kgCalcagni
8
65 kg
1
68 kgMayoz
3
62 kgOsa
4
64 kgCunego
5
58 kgCuesta
6
62 kgPiepoli
7
54 kgCalcagni
8
65 kg
Weight (KG) →
Result →
68
54
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZÁRATE Carlos | 68 |
| 3 | MAYOZ Iban | 62 |
| 4 | OSA Aitor | 64 |
| 5 | CUNEGO Damiano | 58 |
| 6 | CUESTA Iñigo | 62 |
| 7 | PIEPOLI Leonardo | 54 |
| 8 | CALCAGNI Patrick | 65 |