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 + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Belloni
2
75 kgLucotti
3
67 kgBrunero
4
66 kgBuysse
9
72 kgCanepari
10
62 kg
2
75 kgLucotti
3
67 kgBrunero
4
66 kgBuysse
9
72 kgCanepari
10
62 kg
Weight (KG) →
Result →
75
62
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BELLONI Gaetano | 75 |
| 3 | LUCOTTI Luigi Natale | 67 |
| 4 | BRUNERO Giovanni | 66 |
| 9 | BUYSSE Marcel | 72 |
| 10 | CANEPARI Clemente | 62 |