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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Zberg
1
72 kgElli
5
71 kgVanzella
10
78 kgPiccoli
11
64 kgCenghialta
14
73 kgTafi
15
73 kgBallerini
16
78 kg
1
72 kgElli
5
71 kgVanzella
10
78 kgPiccoli
11
64 kgCenghialta
14
73 kgTafi
15
73 kgBallerini
16
78 kg
Weight (KG) →
Result →
78
64
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZBERG Beat | 72 |
| 5 | ELLI Alberto | 71 |
| 10 | VANZELLA Flavio | 78 |
| 11 | PICCOLI Mariano | 64 |
| 14 | CENGHIALTA Bruno | 73 |
| 15 | TAFI Andrea | 73 |
| 16 | BALLERINI Franco | 78 |