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 + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Zabel
11
69 kgCordes
13
70 kgHolm Sørensen
14
77 kgEeckhout
16
73 kgEdo
17
64 kg
11
69 kgCordes
13
70 kgHolm Sørensen
14
77 kgEeckhout
16
73 kgEdo
17
64 kg
Weight (KG) →
Result →
77
64
11
17
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | ZABEL Erik | 69 |
| 13 | CORDES Tom | 70 |
| 14 | HOLM SØRENSEN Brian | 77 |
| 16 | EECKHOUT Niko | 73 |
| 17 | EDO Ángel | 64 |