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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Lenaers
1
80 kgCasterman
4
74 kgDe Busschere
5
67 kgJordens
11
72 kgVerschueren
13
91 kgBelvaux
18
72 kg
1
80 kgCasterman
4
74 kgDe Busschere
5
67 kgJordens
11
72 kgVerschueren
13
91 kgBelvaux
18
72 kg
Weight (KG) →
Result →
91
67
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LENAERS Victor | 80 |
| 4 | CASTERMAN André | 74 |
| 5 | DE BUSSCHERE Alfred | 67 |
| 11 | JORDENS Albert | 72 |
| 13 | VERSCHUEREN Denis | 91 |
| 18 | BELVAUX Jean | 72 |