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 + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Moser
2
79 kgImboden
9
70 kgZoetemelk
12
68 kgSørensen
17
70 kgDelgado
18
64 kgPrim
20
76 kg
2
79 kgImboden
9
70 kgZoetemelk
12
68 kgSørensen
17
70 kgDelgado
18
64 kgPrim
20
76 kg
Weight (KG) →
Result →
79
64
2
20
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOSER Francesco | 79 |
| 9 | IMBODEN Heinz | 70 |
| 12 | ZOETEMELK Joop | 68 |
| 17 | SØRENSEN Rolf | 70 |
| 18 | DELGADO Pedro | 64 |
| 20 | PRIM Tommy | 76 |