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 - 20
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Vietto
4
67 kgMallet
12
53 kgCogan
14
68 kgGoasmat
22
60 kgvan Schendel
25
72 kgLambrichs
26
67 kgBourlon
32
72 kg
4
67 kgMallet
12
53 kgCogan
14
68 kgGoasmat
22
60 kgvan Schendel
25
72 kgLambrichs
26
67 kgBourlon
32
72 kg
Weight (KG) →
Result →
72
53
4
32
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VIETTO René | 67 |
| 12 | MALLET Auguste | 53 |
| 14 | COGAN Pierre | 68 |
| 22 | GOASMAT Jean-Marie | 60 |
| 25 | VAN SCHENDEL Albert | 72 |
| 26 | LAMBRICHS Jan | 67 |
| 32 | BOURLON Albert | 72 |