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 = -1.2 * weight + 71
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Cooke
1
58 kgCantele
4
58 kgGuderzo
5
54 kgVžesniauskaitė
6
57 kgCorneo
8
54 kgPučinskaitė
10
54 kg
1
58 kgCantele
4
58 kgGuderzo
5
54 kgVžesniauskaitė
6
57 kgCorneo
8
54 kgPučinskaitė
10
54 kg
Weight (KG) →
Result →
58
54
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COOKE Nicole | 58 |
| 4 | CANTELE Noemi | 58 |
| 5 | GUDERZO Tatiana | 54 |
| 6 | VŽESNIAUSKAITĖ Modesta | 57 |
| 8 | CORNEO Sigrid | 54 |
| 10 | PUČINSKAITĖ Edita | 54 |