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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Vermandel
1
75 kgGrassin
2
62 kgGerbaud
4
76 kgCuvelier
6
65 kgVille
7
68 kg
1
75 kgGrassin
2
62 kgGerbaud
4
76 kgCuvelier
6
65 kgVille
7
68 kg
Weight (KG) →
Result →
76
62
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERMANDEL René | 75 |
| 2 | GRASSIN Robert | 62 |
| 4 | GERBAUD Robert | 76 |
| 6 | CUVELIER Georges | 65 |
| 7 | VILLE Maurice | 68 |