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 = 0.6 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Prim
1
76 kgVan Impe
3
59 kgSegersall
4
65 kgTak
17
80 kgHolm Sørensen
33
77 kgAlgeri
35
68 kg
1
76 kgVan Impe
3
59 kgSegersall
4
65 kgTak
17
80 kgHolm Sørensen
33
77 kgAlgeri
35
68 kg
Weight (KG) →
Result →
80
59
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRIM Tommy | 76 |
| 3 | VAN IMPE Lucien | 59 |
| 4 | SEGERSALL Alf | 65 |
| 17 | TAK Ad | 80 |
| 33 | HOLM SØRENSEN Brian | 77 |
| 35 | ALGERI Vittorio | 68 |