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 = 0.5 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Vietto
2
67 kgMallet
10
53 kgCogan
11
68 kgGoasmat
17
60 kgBourlon
19
72 kgLambrichs
22
67 kgvan Schendel
29
72 kg
2
67 kgMallet
10
53 kgCogan
11
68 kgGoasmat
17
60 kgBourlon
19
72 kgLambrichs
22
67 kgvan Schendel
29
72 kg
Weight (KG) →
Result →
72
53
2
29
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VIETTO René | 67 |
| 10 | MALLET Auguste | 53 |
| 11 | COGAN Pierre | 68 |
| 17 | GOASMAT Jean-Marie | 60 |
| 19 | BOURLON Albert | 72 |
| 22 | LAMBRICHS Jan | 67 |
| 29 | VAN SCHENDEL Albert | 72 |