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 - 8
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
De Wolf
4
75 kgMadiot
8
68 kgBreukink
11
70 kgCordes
24
70 kgLilholt
54
72 kg
4
75 kgMadiot
8
68 kgBreukink
11
70 kgCordes
24
70 kgLilholt
54
72 kg
Weight (KG) →
Result →
75
68
4
54
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DE WOLF Fons | 75 |
| 8 | MADIOT Marc | 68 |
| 11 | BREUKINK Erik | 70 |
| 24 | CORDES Tom | 70 |
| 54 | LILHOLT Søren | 72 |