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 = -0.1 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Elliott
1
76 kgPlanckaert
2
69 kgArntz
3
70 kgDomínguez
5
67 kgPagnin
7
74 kg
1
76 kgPlanckaert
2
69 kgArntz
3
70 kgDomínguez
5
67 kgPagnin
7
74 kg
Weight (KG) →
Result →
76
67
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELLIOTT Malcolm | 76 |
| 2 | PLANCKAERT Eddy | 69 |
| 3 | ARNTZ Marcel | 70 |
| 5 | DOMÍNGUEZ Manuel Jorge | 67 |
| 7 | PAGNIN Roberto | 74 |