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 - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Buysse
2
72 kgCanepari
3
62 kgGremo
4
74 kgBelloni
5
75 kgPratesi
9
74 kg
2
72 kgCanepari
3
62 kgGremo
4
74 kgBelloni
5
75 kgPratesi
9
74 kg
Weight (KG) →
Result →
75
62
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUYSSE Marcel | 72 |
| 3 | CANEPARI Clemente | 62 |
| 4 | GREMO Angelo | 74 |
| 5 | BELLONI Gaetano | 75 |
| 9 | PRATESI Ottavio | 74 |