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 + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Pagnin
1
74 kgLilholt
5
72 kgElliott
6
76 kgSciandri
7
75 kgDomínguez
17
67 kgHolm Sørensen
19
77 kg
1
74 kgLilholt
5
72 kgElliott
6
76 kgSciandri
7
75 kgDomínguez
17
67 kgHolm Sørensen
19
77 kg
Weight (KG) →
Result →
77
67
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAGNIN Roberto | 74 |
| 5 | LILHOLT Søren | 72 |
| 6 | ELLIOTT Malcolm | 76 |
| 7 | SCIANDRI Maximilian | 75 |
| 17 | DOMÍNGUEZ Manuel Jorge | 67 |
| 19 | HOLM SØRENSEN Brian | 77 |