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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Gremo
1
74 kgEnrici
4
64 kgBrunero
6
66 kgBelloni
10
75 kgPetiva
12
71 kg
1
74 kgEnrici
4
64 kgBrunero
6
66 kgBelloni
10
75 kgPetiva
12
71 kg
Weight (KG) →
Result →
75
64
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREMO Angelo | 74 |
| 4 | ENRICI Giuseppe | 64 |
| 6 | BRUNERO Giovanni | 66 |
| 10 | BELLONI Gaetano | 75 |
| 12 | PETIVA Emilio | 71 |