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 * weight + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Saronni
1
65 kgGavazzi
3
67 kgKnudsen
4
79 kgMartinelli
5
74 kgVandi
9
64 kgParecchini
10
71 kg
1
65 kgGavazzi
3
67 kgKnudsen
4
79 kgMartinelli
5
74 kgVandi
9
64 kgParecchini
10
71 kg
Weight (KG) →
Result →
79
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 3 | GAVAZZI Pierino | 67 |
| 4 | KNUDSEN Knut | 79 |
| 5 | MARTINELLI Giuseppe | 74 |
| 9 | VANDI Alfio | 64 |
| 10 | PARECCHINI Aldo | 71 |