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 = 1.6 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Lechner
1
52 kgBronzini
3
54 kgCantele
6
58 kgBastianelli
13
60 kgGuderzo
17
54 kgCarrara
24
64 kgValsecchi
25
58 kg
1
52 kgBronzini
3
54 kgCantele
6
58 kgBastianelli
13
60 kgGuderzo
17
54 kgCarrara
24
64 kgValsecchi
25
58 kg
Weight (KG) →
Result →
64
52
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LECHNER Eva | 52 |
| 3 | BRONZINI Giorgia | 54 |
| 6 | CANTELE Noemi | 58 |
| 13 | BASTIANELLI Marta | 60 |
| 17 | GUDERZO Tatiana | 54 |
| 24 | CARRARA Vera | 64 |
| 25 | VALSECCHI Silvia | 58 |