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 = 0.8 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Van Impe
5
59 kgZoetemelk
8
68 kgPoulidor
14
71 kgMartin
18
62 kgBourreau
36
63 kgSchuiten
37
83 kg
5
59 kgZoetemelk
8
68 kgPoulidor
14
71 kgMartin
18
62 kgBourreau
36
63 kgSchuiten
37
83 kg
Weight (KG) →
Result →
83
59
5
37
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | VAN IMPE Lucien | 59 |
| 8 | ZOETEMELK Joop | 68 |
| 14 | POULIDOR Raymond | 71 |
| 18 | MARTIN Raymond | 62 |
| 36 | BOURREAU Bernard | 63 |
| 37 | SCHUITEN Roy | 83 |