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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Cipollini
1
77 kgFondriest
4
70 kgVan Petegem
5
70 kgLoda
7
73 kgSmetanine
9
69 kg
1
77 kgFondriest
4
70 kgVan Petegem
5
70 kgLoda
7
73 kgSmetanine
9
69 kg
Weight (KG) →
Result →
77
69
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 4 | FONDRIEST Maurizio | 70 |
| 5 | VAN PETEGEM Peter | 70 |
| 7 | LODA Nicola | 73 |
| 9 | SMETANINE Serguei | 69 |