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 = 1.4 * weight - 81
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Delgado
1
64 kgPagnin
9
74 kgWechselberger
10
71 kgHolm Sørensen
24
77 kgVilamajo
33
70 kgSukhoruchenkov
46
72 kg
1
64 kgPagnin
9
74 kgWechselberger
10
71 kgHolm Sørensen
24
77 kgVilamajo
33
70 kgSukhoruchenkov
46
72 kg
Weight (KG) →
Result →
77
64
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELGADO Pedro | 64 |
| 9 | PAGNIN Roberto | 74 |
| 10 | WECHSELBERGER Helmut | 71 |
| 24 | HOLM SØRENSEN Brian | 77 |
| 33 | VILAMAJO Jaime | 70 |
| 46 | SUKHORUCHENKOV Sergei | 72 |