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 = -64.2 * weight + 4874
This means that on average for every extra kilogram weight a rider loses -64.2 positions in the result.
Rosiers
9
78 kgZoetemelk
11
68 kgPoulidor
15
71 kgHinault
990
62 kgVan Impe
990
59 kgBourreau
990
63 kgTschan
990
68 kg
9
78 kgZoetemelk
11
68 kgPoulidor
15
71 kgHinault
990
62 kgVan Impe
990
59 kgBourreau
990
63 kgTschan
990
68 kg
Weight (KG) →
Result →
78
59
9
990
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | ROSIERS Roger | 78 |
| 11 | ZOETEMELK Joop | 68 |
| 15 | POULIDOR Raymond | 71 |
| 990 | HINAULT Bernard | 62 |
| 990 | VAN IMPE Lucien | 59 |
| 990 | BOURREAU Bernard | 63 |
| 990 | TSCHAN Jürgen | 68 |