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 = -2.5 * weight + 183
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
Dronova-Balabolina
3
63 kgHartmann
17
56 kgRamirez
30
54 kgLópez
33
67 kgSanchez
35
51 kgStern
86
55 kgPeñuela
90
53 kg
3
63 kgHartmann
17
56 kgRamirez
30
54 kgLópez
33
67 kgSanchez
35
51 kgStern
86
55 kgPeñuela
90
53 kg
Weight (KG) →
Result →
67
51
3
90
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DRONOVA-BALABOLINA Tamara | 63 |
| 17 | HARTMANN Elena | 56 |
| 30 | RAMIREZ Andrea | 54 |
| 33 | LÓPEZ Diana | 67 |
| 35 | SANCHEZ Jennifer Camila | 51 |
| 86 | STERN Léa | 55 |
| 90 | PEÑUELA Diana | 53 |