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 = -0.9 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Baccaille
1
61 kgBronzini
3
54 kgCantele
4
58 kgGuderzo
5
54 kgLechner
13
52 kg
1
61 kgBronzini
3
54 kgCantele
4
58 kgGuderzo
5
54 kgLechner
13
52 kg
Weight (KG) →
Result →
61
52
1
13
# | Rider | Weight (KG) |
---|---|---|
1 | BACCAILLE Monia | 61 |
3 | BRONZINI Giorgia | 54 |
4 | CANTELE Noemi | 58 |
5 | GUDERZO Tatiana | 54 |
13 | LECHNER Eva | 52 |