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 = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Ugrumov
1
58 kgKlasa
3
79 kgHolm Sørensen
6
77 kgSkibby
6
70 kgScirea
8
80 kgVanzella
8
78 kgBreukink
10
70 kg
1
58 kgKlasa
3
79 kgHolm Sørensen
6
77 kgSkibby
6
70 kgScirea
8
80 kgVanzella
8
78 kgBreukink
10
70 kg
Weight (KG) →
Result →
80
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | UGRUMOV Piotr | 58 |
| 3 | KLASA Michal | 79 |
| 6 | HOLM SØRENSEN Brian | 77 |
| 6 | SKIBBY Jesper | 70 |
| 8 | SCIREA Mario | 80 |
| 8 | VANZELLA Flavio | 78 |
| 10 | BREUKINK Erik | 70 |