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 - 57
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Saronni
1
65 kgGavazzi
3
67 kgCenghialta
11
73 kgBallerini
12
78 kgMartinello
15
71 kg
1
65 kgGavazzi
3
67 kgCenghialta
11
73 kgBallerini
12
78 kgMartinello
15
71 kg
Weight (KG) →
Result →
78
65
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 3 | GAVAZZI Pierino | 67 |
| 11 | CENGHIALTA Bruno | 73 |
| 12 | BALLERINI Franco | 78 |
| 15 | MARTINELLO Silvio | 71 |