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.
Kelly
1
77 kgDelgado
5
64 kgHoste
7
76 kgDomínguez
9
67 kgFernández
10
68 kg
1
77 kgDelgado
5
64 kgHoste
7
76 kgDomínguez
9
67 kgFernández
10
68 kg
Weight (KG) →
Result →
77
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 5 | DELGADO Pedro | 64 |
| 7 | HOSTE Frank | 76 |
| 9 | DOMÍNGUEZ Manuel Jorge | 67 |
| 10 | FERNÁNDEZ Juan | 68 |