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 + 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Lambrichs
5
67 kgMallet
10
53 kgBourlon
11
72 kgCogan
22
68 kgVietto
22
67 kgGoasmat
22
60 kgvan Schendel
22
72 kg
5
67 kgMallet
10
53 kgBourlon
11
72 kgCogan
22
68 kgVietto
22
67 kgGoasmat
22
60 kgvan Schendel
22
72 kg
Weight (KG) →
Result →
72
53
5
22
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | LAMBRICHS Jan | 67 |
| 10 | MALLET Auguste | 53 |
| 11 | BOURLON Albert | 72 |
| 22 | COGAN Pierre | 68 |
| 22 | VIETTO René | 67 |
| 22 | GOASMAT Jean-Marie | 60 |
| 22 | VAN SCHENDEL Albert | 72 |