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 = -0.7 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Kitchen
1
60 kgSanguineti
2
61 kgGuderzo
4
54 kgBecker
5
64 kgPankova
14
52 kg
1
60 kgSanguineti
2
61 kgGuderzo
4
54 kgBecker
5
64 kgPankova
14
52 kg
Weight (KG) →
Result →
64
52
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KITCHEN Lauren | 60 |
| 2 | SANGUINETI Ilaria | 61 |
| 4 | GUDERZO Tatiana | 54 |
| 5 | BECKER Charlotte | 64 |
| 14 | PANKOVA Larisa | 52 |