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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Bennati
2
71 kgPagliarini
3
68 kgCadamuro
4
78 kgDegano
8
68 kgAug
9
83 kg
2
71 kgPagliarini
3
68 kgCadamuro
4
78 kgDegano
8
68 kgAug
9
83 kg
Weight (KG) →
Result →
83
68
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BENNATI Daniele | 71 |
| 3 | PAGLIARINI Luciano André | 68 |
| 4 | CADAMURO Simone | 78 |
| 8 | DEGANO Enrico | 68 |
| 9 | AUG Andrus | 83 |