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.
Deloor
1
72 kgLouyet
8
64 kgVan Bruaene
10
70 kgWauters
11
72 kgRoosemont
12
80 kg
1
72 kgLouyet
8
64 kgVan Bruaene
10
70 kgWauters
11
72 kgRoosemont
12
80 kg
Weight (KG) →
Result →
80
64
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELOOR Alfons | 72 |
| 8 | LOUYET Léon | 64 |
| 10 | VAN BRUAENE Armand | 70 |
| 11 | WAUTERS Jean | 72 |
| 12 | ROOSEMONT Leopold | 80 |