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 - 30
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Jonker
1
69 kgKnaven
2
68 kgKoerts
6
78 kgCordes
7
70 kgPieters
10
82 kg
1
69 kgKnaven
2
68 kgKoerts
6
78 kgCordes
7
70 kgPieters
10
82 kg
Weight (KG) →
Result →
82
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JONKER Patrick | 69 |
| 2 | KNAVEN Servais | 68 |
| 6 | KOERTS Jans | 78 |
| 7 | CORDES Tom | 70 |
| 10 | PIETERS Peter | 82 |