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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Merckx
2
74 kgPoulidor
8
71 kgBracke
10
79 kgVan Impe
11
59 kgSchutz
16
72 kg
2
74 kgPoulidor
8
71 kgBracke
10
79 kgVan Impe
11
59 kgSchutz
16
72 kg
Weight (KG) →
Result →
79
59
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MERCKX Eddy | 74 |
| 8 | POULIDOR Raymond | 71 |
| 10 | BRACKE Ferdinand | 79 |
| 11 | VAN IMPE Lucien | 59 |
| 16 | SCHUTZ Edy | 72 |