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 = 44.2 * weight - 2813
This means that on average for every extra kilogram weight a rider loses 44.2 positions in the result.
Hinault
2
62 kgPoulidor
10
71 kgVan Impe
11
59 kgZoetemelk
13
68 kgBourreau
17
63 kgTschan
19
68 kgRosiers
990
78 kg
2
62 kgPoulidor
10
71 kgVan Impe
11
59 kgZoetemelk
13
68 kgBourreau
17
63 kgTschan
19
68 kgRosiers
990
78 kg
Weight (KG) →
Result →
78
59
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HINAULT Bernard | 62 |
| 10 | POULIDOR Raymond | 71 |
| 11 | VAN IMPE Lucien | 59 |
| 13 | ZOETEMELK Joop | 68 |
| 17 | BOURREAU Bernard | 63 |
| 19 | TSCHAN Jürgen | 68 |
| 990 | ROSIERS Roger | 78 |