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 = 22.8 * weight - 718
This means that on average for every extra kilogram weight a rider loses 22.8 positions in the result.
Van Impe
2
59 kgPoulidor
990
71 kgZoetemelk
990
68 kgMartin
990
62 kgSchuiten
990
83 kgBourreau
990
63 kg
2
59 kgPoulidor
990
71 kgZoetemelk
990
68 kgMartin
990
62 kgSchuiten
990
83 kgBourreau
990
63 kg
Weight (KG) →
Result →
83
59
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN IMPE Lucien | 59 |
| 990 | POULIDOR Raymond | 71 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | MARTIN Raymond | 62 |
| 990 | SCHUITEN Roy | 83 |
| 990 | BOURREAU Bernard | 63 |