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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Jasinska
1
57 kgGuarnier
3
54 kgTreier
4
62 kgSmall
5
55 kgBronzini
6
54 kgBastianelli
8
60 kgRiabchenko
10
57 kg
1
57 kgGuarnier
3
54 kgTreier
4
62 kgSmall
5
55 kgBronzini
6
54 kgBastianelli
8
60 kgRiabchenko
10
57 kg
Weight (KG) →
Result →
62
54
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JASINSKA Małgorzata | 57 |
| 3 | GUARNIER Megan | 54 |
| 4 | TREIER Grete | 62 |
| 5 | SMALL Carmen | 55 |
| 6 | BRONZINI Giorgia | 54 |
| 8 | BASTIANELLI Marta | 60 |
| 10 | RIABCHENKO Tetyana | 57 |