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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Tak
5
80 kgBråthen
7
89 kgHolm Sørensen
8
77 kgSegersall
9
65 kgPrim
11
76 kgVan Impe
13
59 kg
5
80 kgBråthen
7
89 kgHolm Sørensen
8
77 kgSegersall
9
65 kgPrim
11
76 kgVan Impe
13
59 kg
Weight (KG) →
Result →
89
59
5
13
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | TAK Ad | 80 |
| 7 | BRÅTHEN Stein | 89 |
| 8 | HOLM SØRENSEN Brian | 77 |
| 9 | SEGERSALL Alf | 65 |
| 11 | PRIM Tommy | 76 |
| 13 | VAN IMPE Lucien | 59 |