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 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Donati
1
75 kgCasagrande
3
64 kgPiepoli
4
54 kgBallerini
5
78 kgElli
8
71 kgForconi
10
71 kgRiis
11
71 kgBelli
12
64 kg
1
75 kgCasagrande
3
64 kgPiepoli
4
54 kgBallerini
5
78 kgElli
8
71 kgForconi
10
71 kgRiis
11
71 kgBelli
12
64 kg
Weight (KG) →
Result →
78
54
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DONATI Massimo | 75 |
| 3 | CASAGRANDE Francesco | 64 |
| 4 | PIEPOLI Leonardo | 54 |
| 5 | BALLERINI Franco | 78 |
| 8 | ELLI Alberto | 71 |
| 10 | FORCONI Riccardo | 71 |
| 11 | RIIS Bjarne | 71 |
| 12 | BELLI Wladimir | 64 |