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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Planckaert
3
69 kgDe Wilde
4
70 kgKelly
5
77 kgBreukink
9
70 kgSchepers
11
60 kgFignon
12
67 kg
3
69 kgDe Wilde
4
70 kgKelly
5
77 kgBreukink
9
70 kgSchepers
11
60 kgFignon
12
67 kg
Weight (KG) →
Result →
77
60
3
12
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PLANCKAERT Eddy | 69 |
| 4 | DE WILDE Etienne | 70 |
| 5 | KELLY Sean | 77 |
| 9 | BREUKINK Erik | 70 |
| 11 | SCHEPERS Eddy | 60 |
| 12 | FIGNON Laurent | 67 |