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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Sørensen
4
70 kgBaffi
5
70 kgGavazzi
7
67 kgSaronni
8
65 kgFondriest
10
70 kg
4
70 kgBaffi
5
70 kgGavazzi
7
67 kgSaronni
8
65 kgFondriest
10
70 kg
Weight (KG) →
Result →
70
65
4
10
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SØRENSEN Rolf | 70 |
| 5 | BAFFI Adriano | 70 |
| 7 | GAVAZZI Pierino | 67 |
| 8 | SARONNI Giuseppe | 65 |
| 10 | FONDRIEST Maurizio | 70 |