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 + 13
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Jasinska
1
57 kgBoyarskaya
2
67 kgRagazinskiene
4
58 kgTrevisi
5
54 kgVieceli
7
59 kg
1
57 kgBoyarskaya
2
67 kgRagazinskiene
4
58 kgTrevisi
5
54 kgVieceli
7
59 kg
Weight (KG) →
Result →
67
54
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JASINSKA Małgorzata | 57 |
| 2 | BOYARSKAYA Natalia | 67 |
| 4 | RAGAZINSKIENE Daiva | 58 |
| 5 | TREVISI Anna | 54 |
| 7 | VIECELI Lara | 59 |