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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Malcotti
5
52 kgMartín
6
58 kgNorsgaard
9
65 kgVitillo
15
51 kgRamirez
16
54 kgVarenyk
21
59 kg
5
52 kgMartín
6
58 kgNorsgaard
9
65 kgVitillo
15
51 kgRamirez
16
54 kgVarenyk
21
59 kg
Weight (KG) →
Result →
65
51
5
21
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MALCOTTI Barbara | 52 |
| 6 | MARTÍN Sara | 58 |
| 9 | NORSGAARD Emma | 65 |
| 15 | VITILLO Matilde | 51 |
| 16 | RAMIREZ Andrea | 54 |
| 21 | VARENYK Maryna | 59 |