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 = -0.6 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Martinello
1
71 kgVanzella
3
78 kgBortolami
8
73 kgBramati
11
62 kgBaffi
26
70 kg
1
71 kgVanzella
3
78 kgBortolami
8
73 kgBramati
11
62 kgBaffi
26
70 kg
Weight (KG) →
Result →
78
62
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTINELLO Silvio | 71 |
| 3 | VANZELLA Flavio | 78 |
| 8 | BORTOLAMI Gianluca | 73 |
| 11 | BRAMATI Luca | 62 |
| 26 | BAFFI Adriano | 70 |