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 * weight + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Štybar
1
68 kgDevenyns
2
65 kgKangert
5
65 kgTimmer
6
77 kgHermans
7
72 kgEl Fares
8
62 kgHupond
10
65 kg
1
68 kgDevenyns
2
65 kgKangert
5
65 kgTimmer
6
77 kgHermans
7
72 kgEl Fares
8
62 kgHupond
10
65 kg
Weight (KG) →
Result →
77
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠTYBAR Zdeněk | 68 |
| 2 | DEVENYNS Dries | 65 |
| 5 | KANGERT Tanel | 65 |
| 6 | TIMMER Albert | 77 |
| 7 | HERMANS Ben | 72 |
| 8 | EL FARES Julien | 62 |
| 10 | HUPOND Thierry | 65 |