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 = 0.4 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Brunero
1
66 kgBelloni
3
75 kgBuysse
6
72 kgGremo
7
74 kgRossignoli
10
71 kg
1
66 kgBelloni
3
75 kgBuysse
6
72 kgGremo
7
74 kgRossignoli
10
71 kg
Weight (KG) →
Result →
75
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUNERO Giovanni | 66 |
| 3 | BELLONI Gaetano | 75 |
| 6 | BUYSSE Marcel | 72 |
| 7 | GREMO Angelo | 74 |
| 10 | ROSSIGNOLI Giovanni | 71 |