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 = -0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kitchen
1
60 kgGuderzo
2
54 kgSanguineti
5
61 kgBecker
8
64 kgPankova
12
52 kg
1
60 kgGuderzo
2
54 kgSanguineti
5
61 kgBecker
8
64 kgPankova
12
52 kg
Weight (KG) →
Result →
64
52
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KITCHEN Lauren | 60 |
| 2 | GUDERZO Tatiana | 54 |
| 5 | SANGUINETI Ilaria | 61 |
| 8 | BECKER Charlotte | 64 |
| 12 | PANKOVA Larisa | 52 |