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 - 25
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Dewaele
1
69 kgDe Graeve
2
70 kgWauters
3
72 kgDecroix
4
68 kgSchepers
7
80 kg
1
69 kgDe Graeve
2
70 kgWauters
3
72 kgDecroix
4
68 kgSchepers
7
80 kg
Weight (KG) →
Result →
80
68
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEWAELE Maurice | 69 |
| 2 | DE GRAEVE Kamiel | 70 |
| 3 | WAUTERS Jean | 72 |
| 4 | DECROIX Emile | 68 |
| 7 | SCHEPERS Alfons | 80 |