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 * weight - 48
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Grassi
2
56 kgBronzini
4
54 kgCorneo
6
54 kgGuderzo
8
54 kgBaccaille
9
61 kgCantele
10
58 kgValsecchi
20
58 kg
2
56 kgBronzini
4
54 kgCorneo
6
54 kgGuderzo
8
54 kgBaccaille
9
61 kgCantele
10
58 kgValsecchi
20
58 kg
Weight (KG) →
Result →
61
54
2
20
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GRASSI Giuseppina | 56 |
| 4 | BRONZINI Giorgia | 54 |
| 6 | CORNEO Sigrid | 54 |
| 8 | GUDERZO Tatiana | 54 |
| 9 | BACCAILLE Monia | 61 |
| 10 | CANTELE Noemi | 58 |
| 20 | VALSECCHI Silvia | 58 |