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 = 0.5 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Nilsson
1
63 kgPrim
8
76 kgvan Vliet
19
65 kgDidier
36
67 kgDuclos-Lassalle
38
73 kgSørensen
41
68 kg
1
63 kgPrim
8
76 kgvan Vliet
19
65 kgDidier
36
67 kgDuclos-Lassalle
38
73 kgSørensen
41
68 kg
Weight (KG) →
Result →
76
63
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NILSSON Sven-Åke | 63 |
| 8 | PRIM Tommy | 76 |
| 19 | VAN VLIET Leo | 65 |
| 36 | DIDIER Lucien | 67 |
| 38 | DUCLOS-LASSALLE Gilbert | 73 |
| 41 | SØRENSEN Eigil | 68 |