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 = -0.5 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Fondriest
3
70 kgKelly
5
77 kgYates
8
74 kgCaroli
9
77 kgDelgado
16
64 kg
3
70 kgKelly
5
77 kgYates
8
74 kgCaroli
9
77 kgDelgado
16
64 kg
Weight (KG) →
Result →
77
64
3
16
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FONDRIEST Maurizio | 70 |
| 5 | KELLY Sean | 77 |
| 8 | YATES Sean | 74 |
| 9 | CAROLI Daniele | 77 |
| 16 | DELGADO Pedro | 64 |