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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Murguialday
2
58 kgDomínguez
9
67 kgPagnin
11
74 kgUgrumov
18
58 kgNevens
19
58 kg
2
58 kgDomínguez
9
67 kgPagnin
11
74 kgUgrumov
18
58 kgNevens
19
58 kg
Weight (KG) →
Result →
74
58
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MURGUIALDAY Javier | 58 |
| 9 | DOMÍNGUEZ Manuel Jorge | 67 |
| 11 | PAGNIN Roberto | 74 |
| 18 | UGRUMOV Piotr | 58 |
| 19 | NEVENS Jan | 58 |