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 = -40.4 * weight + 3559
This means that on average for every extra kilogram weight a rider loses -40.4 positions in the result.
Schuiten
1
83 kgPoulidor
990
71 kgZoetemelk
990
68 kgVan Impe
990
59 kgMartin
990
62 kgBourreau
990
63 kg
1
83 kgPoulidor
990
71 kgZoetemelk
990
68 kgVan Impe
990
59 kgMartin
990
62 kgBourreau
990
63 kg
Weight (KG) →
Result →
83
59
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHUITEN Roy | 83 |
| 990 | POULIDOR Raymond | 71 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | VAN IMPE Lucien | 59 |
| 990 | MARTIN Raymond | 62 |
| 990 | BOURREAU Bernard | 63 |