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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Sacchi
2
68 kgSiedler
3
75 kgDietz
4
69 kgHolm Sørensen
5
77 kgZucconi
7
63 kg
2
68 kgSiedler
3
75 kgDietz
4
69 kgHolm Sørensen
5
77 kgZucconi
7
63 kg
Weight (KG) →
Result →
77
63
2
7
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SACCHI Fabio | 68 |
| 3 | SIEDLER Sebastian | 75 |
| 4 | DIETZ Bert | 69 |
| 5 | HOLM SØRENSEN Brian | 77 |
| 7 | ZUCCONI Pietro | 63 |