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 - 117
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
Hartmann
1
56 kgRamirez
11
54 kgSanchez
18
51 kgDronova-Balabolina
23
63 kgPeñuela
24
53 kgStern
26
55 kgLópez
65
67 kg
1
56 kgRamirez
11
54 kgSanchez
18
51 kgDronova-Balabolina
23
63 kgPeñuela
24
53 kgStern
26
55 kgLópez
65
67 kg
Weight (KG) →
Result →
67
51
1
65
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HARTMANN Elena | 56 |
| 11 | RAMIREZ Andrea | 54 |
| 18 | SANCHEZ Jennifer Camila | 51 |
| 23 | DRONOVA-BALABOLINA Tamara | 63 |
| 24 | PEÑUELA Diana | 53 |
| 26 | STERN Léa | 55 |
| 65 | LÓPEZ Diana | 67 |