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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Gordini
3
89 kgFerrario
4
67 kgBrunero
6
66 kgPetiva
8
71 kgLucotti
39
67 kg
3
89 kgFerrario
4
67 kgBrunero
6
66 kgPetiva
8
71 kgLucotti
39
67 kg
Weight (KG) →
Result →
89
66
3
39
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GORDINI Michele | 89 |
| 4 | FERRARIO Arturo | 67 |
| 6 | BRUNERO Giovanni | 66 |
| 8 | PETIVA Emilio | 71 |
| 39 | LUCOTTI Luigi Natale | 67 |